Pith. sign in

Paper Citation Record · LEDGER

Hierarchical Domain Generalization

As of 21 August 2026, this Paper Citation Record lists 100 of 241 outbound references and 0 inbound Pith citation observations for arXiv:2607.16528.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.16528 v1

Coverage vector

measured 100 of 241 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:54:12.227221Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 241 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1c91912-6210-4cc3-bd1a-128b2e2748db · outbound

This paper cites Analysis of Representations for Domain Adaptation , booktitle =.

Hierarchical Domain Generalization Analysis of Representations for Domain Adaptation , booktitle =

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T20:53:59.749222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:53:59.749222Z digest=sha256:ead26b5cc734061643b6ece908a3eebe67458de8a564b98759e5e8f1dd854fc5

Observation 2f9f6eb9-84c5-45d5-83f0-5be2510e739e · outbound

This paper cites Automatica , volume=.

Hierarchical Domain Generalization Automatica , volume=

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T20:53:59.840596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:53:59.840596Z digest=sha256:4d0e2ae370ef528904d1e497144edbd8454351b0f2511263647a07161076be33

Observation fbd5df5a-c5e8-4f7d-a508-faef712336e8 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Hierarchical Domain Generalization IEEE Transactions on Information Theory , volume=

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T20:53:59.937091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:53:59.937091Z digest=sha256:cad22b422c10b451022c4c94313c3efcbc5a841b197c404072ca8b5ba40ad83c

Observation 5336ca71-2cb1-4688-934a-8c4538688565 · outbound

This paper cites 2007 , publisher=.

Hierarchical Domain Generalization 2007 , publisher=

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:00.009785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:00.009785Z digest=sha256:02e23bc2e348982d4627c3d1141b8abb1c8d67ae9037c670919c5b39d42e5a8b

Observation 74d52e59-e23c-4752-b2cc-19ca31b58818 · outbound

This paper cites 2008 , publisher=.

Hierarchical Domain Generalization 2008 , publisher=

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:00.135659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:00.135659Z digest=sha256:09492e7ad56c8bdd356e83ab162278f5ee0087d4e3ae9420e143daef5a3dc5f1

Observation ccdde2dd-073b-4be8-a187-11c75aad4be1 · outbound

This paper cites Scaling Learning Algorithms Towards.

Hierarchical Domain Generalization Scaling Learning Algorithms Towards

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:00.229797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:00.229797Z digest=sha256:bc8acc8c5c0a829a84391720f6235d78c66b47573e5e4a250f9ecec07a6961c6

Observation 75ee005b-e01e-45a1-8c67-27e6bae2db29 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

Hierarchical Domain Generalization and Osindero, Simon and Teh, Yee Whye , journal =

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:00.352259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:00.352259Z digest=sha256:51fa0c1ad95142e9abb443a56867d794bf5e7dc9d1bbb8a7fe8c9dfccefeb5b4

Observation b6dec737-ac06-4ea8-8f7d-fa209674d690 · outbound

This paper cites 2016 , publisher=.

Hierarchical Domain Generalization 2016 , publisher=

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:00.436990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:00.436990Z digest=sha256:10e39475c256eb20801d98f5fc98a7a85821f68898e80d848382283cd621b231

Observation a9dd1011-0904-4ba4-8b05-278f8640221a · outbound

This paper cites 2014 , publisher=.

Hierarchical Domain Generalization 2014 , publisher=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:00.548118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:00.548118Z digest=sha256:9dfddb7d563fa008e9a09a58cd6459164ad971b5d48afdb37e4e21e512813b89

Observation 3437845b-7dc9-4b4f-ac0c-edf43f7310a0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:00.645349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:00.645349Z digest=sha256:de01d77a78232f8b6ea3f125b25ec4d3696aac3e4a0e2c22949a8e5f56ba524a

Observation cb618be4-5700-4b0d-90e0-d69e3b21dacd · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:00.742322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:00.742322Z digest=sha256:cba8493fff0f1a32fe79c0ae7af1fe970d149c8b724ba0e2c8f588f60a0dffc8

Observation 3a707428-e7b0-41a2-a7c8-9de29f27f0ba · outbound

This paper cites International Conference on Machine Learning , year=.

Hierarchical Domain Generalization International Conference on Machine Learning , year=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:00.892154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:00.892154Z digest=sha256:9dd6f39fd85434fe80486596efbb23b6c9858503eb1c9e03ac66221fe38a060a

Observation 6d1afe73-69ed-4f3a-a3b7-987716f665c7 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Hierarchical Domain Generalization The Twelfth International Conference on Learning Representations , year=

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:00.982418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:00.982418Z digest=sha256:bb8777300606a751315dd5c80b736d4abab7eb13d34bd642e48e9312af49b822

Observation c0eb4ce0-156f-4fee-ac25-59f5d882f819 · outbound

This paper cites International Conference on Machine Learning , year=.

Hierarchical Domain Generalization International Conference on Machine Learning , year=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:01.094366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:01.094366Z digest=sha256:e8a5cf60496d3cda6428947064439d9022a3f12aac6a1b3d9c208ddb1c136e09

Observation 274374b5-9af0-4839-a264-b603a35f1149 · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:01.214389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:01.214389Z digest=sha256:81f856d232cc21a7509f73be7d8c8cf7eb1916c92c7bf846bcc26b25ca620504

Observation f1fdbb7b-b56d-41a9-8376-b3bb5664984b · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

Hierarchical Domain Generalization Emerging Properties in Unified Multimodal Pretraining

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:01.293996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:01.293996Z digest=sha256:b38d245ac1b618a659653e61c93035179c31b890365311844cc80a595c3754aa

Observation 992407dd-bf48-4bd9-a3a6-dd58b3291d0e · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:01.377900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:01.377900Z digest=sha256:fb61942e3e448c1e55cbbe728ccb699cf6750c4428bbf61c50901edbae9e3b21

Observation 73eb5ea0-6634-4c3f-98fb-9f89a5aec36f · outbound

This paper cites LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models.

Hierarchical Domain Generalization LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:01.566490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:01.566490Z digest=sha256:b37f3231df95364f0e215bcc5e59ec272d09a920c833650a77160daeeec7b942

Observation 99b2fe14-251f-4c64-9560-aa7ceb032f07 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Hierarchical Domain Generalization The Thirteenth International Conference on Learning Representations , year=

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:01.679239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:01.679239Z digest=sha256:21941003ac813bbf1e30e6fcb6905ebd7a0b61e2a6d283916b2f00228249335a

Observation 285c57bf-3b5f-41b2-bf7b-c58a21e21600 · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:01.802019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:01.802019Z digest=sha256:2b936059684fb163d99a726ba520db6cc359f83b0d4b9d6af05e6c3a5005d69d

Observation e2eaa123-4b8b-4262-88e1-e5f5b776932c · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:01.919209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:01.919209Z digest=sha256:400d582d286ba8a0bfd194dd6c67631780e75019bb6e37c9e756c520c7b2e2a9

Observation 25b1ddd0-b869-47ff-bf35-42d4cb1bd4e1 · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:01.988833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:01.988833Z digest=sha256:fdc524fd3ea6f7c4382109ad505d109b806147ee87189bec128aa902ad096220

Observation 7508564e-1a57-4b49-8108-8a3ac3f8bc32 · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:02.063177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:02.063177Z digest=sha256:6e9954822c61c42f414fa70126096dc79c8c41607bba20da6135e54a31478ce7

Observation f1ebbd1d-f588-4353-ab0b-faf3a76107c7 · outbound

This paper cites Discrete Copula Diffusion.

Hierarchical Domain Generalization Discrete Copula Diffusion

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:02.144962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:02.144962Z digest=sha256:a76027b7c7e51ccdc4f7f6c94153387b3fa7c9ff5ba4c5b547d504d54f1aa552

Observation 57f8f234-4d7e-4d40-8e2c-94dee7a91dc8 · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:02.281198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:02.281198Z digest=sha256:3f24b2c839f01634a4fc4fbd1a0c548c216af70a974040f86aa7ea690fc8d57b

Observation e0076516-4e85-4558-bfa8-fc462ea61be1 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:02.390272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:02.390272Z digest=sha256:a3baed4ab450ba744aa709c497a2ba54156cd8baee7476140c124cc30d5e01bd

Observation 8ff4ef52-e551-483b-bb6a-038fd845dda8 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Hierarchical Domain Generalization The Thirteenth International Conference on Learning Representations , year=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:02.510246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:02.510246Z digest=sha256:48da20492054f22e96216677b9459b94e58dcf02b8e0a11bc46bdee8374cd7a6

Observation a914a423-78db-44b2-b2c4-183e4abf5e19 · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:02.634657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:02.634657Z digest=sha256:9c4b9c273ea0f4432de6e3149fd8d5d9abe6e3dc3552f491e691897c6aa2e6a1

Observation b6b8a0ed-5737-4295-ac02-69874b29001f · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:02.742209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:02.742209Z digest=sha256:cdd2a4df8683724f80af867c63d6865980c62369f240e3629bc771241ed596a6

Observation 414255d2-0bbb-44bb-b9c4-dc98fbeaf7ed · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:02.822153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:02.822153Z digest=sha256:071f9542e56d68800bedc4ee0ab5e2f6c58f4f99f2a132a777b14ce3b5917804

Observation 086e4088-fa5f-435f-9e1e-1f6dc9505163 · outbound

This paper cites Unified Multimodal Discrete Diffusion.

Hierarchical Domain Generalization Unified Multimodal Discrete Diffusion

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:02.898395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:02.898395Z digest=sha256:c411591ff1a936c1d4a738790e53cc45c6ddc7ca95e9b5cf047a7fba367bc31c

Observation c9d705c2-0da3-420c-84db-e83851358b93 · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:03.057946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:03.057946Z digest=sha256:9fe7aacb6bc711c27385a37975e640f0cf4330af432c64acc66920ebaf180930

Observation 5ead11f3-7e11-4f61-8fe9-3acf9d710aa6 · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:03.258663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:03.258663Z digest=sha256:ffdc58034d50f8b9daa57ed6610df0eac462317b54967b2f54ff787335adcb50

Observation f14f2bef-06a2-4359-881b-ba19f5f745c7 · outbound

This paper cites d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning.

Hierarchical Domain Generalization d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:03.441397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:03.441397Z digest=sha256:74c5ce57671af2977b5ed7810b5143e364cfaef104078bd5075ecf975056f56c

Observation 8caf95c5-b29b-4d19-9b41-18d318a90caf · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:03.631465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:03.631465Z digest=sha256:7933b8128d47d1d322be2b7949a96bd267992cae5203c107b68b2779d871a0fb

Observation 58e90344-191d-464b-8b00-aac9d28a963b · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:03.777774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:03.777774Z digest=sha256:5d4fa498d30f16b67e1357d44358dd5c66377d69ead193b5e7d647f66683b196

Observation 552ea437-0510-4149-8a9c-b82197c7a3bf · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:03.892472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:03.892472Z digest=sha256:90ab53f29a4318e7debd22f5848b144934fdc73337acddc6b3f7df69b0a757c5

Observation 1ea18d36-d17d-498c-b6f9-57caf6ff44e8 · outbound

This paper cites 2025 , eprint=.

Hierarchical Domain Generalization 2025 , eprint=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:04.007159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:04.007159Z digest=sha256:413544c81f259c50494df71070234777cb0ce1322432c1ed58e0e79136e03e7d

Observation 7370d031-9295-4760-90fe-c6a96144b138 · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

Hierarchical Domain Generalization The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:04.179091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:04.179091Z digest=sha256:6580c91d5b85a0365a014df0575c635f4ef04762b70028b973cc91b943d411c3

Observation bf5d5c9b-511b-47e4-b0db-8085c25ec0aa · outbound

This paper cites 2024 , eprint=.

Hierarchical Domain Generalization 2024 , eprint=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:04.314905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:04.314905Z digest=sha256:1dc07622cf934e516bc7ad66fa64d63ab329f4d9e972d08679648b17a4094b5c

Observation dcea2360-08c3-4b84-95f3-637da5cefc7b · outbound

This paper cites International Conference on Learning Representations , year=.

Hierarchical Domain Generalization International Conference on Learning Representations , year=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:04.454079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:04.454079Z digest=sha256:c7eb2f90508c9092d91a10c466bfe83d5f9257b3d90e9ded159d3c889aba313f

Observation f29d3477-dc5b-45c1-aa42-b55b2bfc4ceb · outbound

This paper cites International Conference on Learning Representations , year=.

Hierarchical Domain Generalization International Conference on Learning Representations , year=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:04.630678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:04.630678Z digest=sha256:fa3264567056571215dd508135a048661354bb51b67a81fe804c9587ca9b9179

Observation bb319dc1-4b60-4cda-b17b-0c35c712e38c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:04.758682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:04.758682Z digest=sha256:3ded632e39094f2c4f1d351621265f5ac3bd013bfac354192a6d710dfd0812f5

Observation 0ecb491e-a4eb-4ffd-a1ae-397011ebade1 · outbound

This paper cites an unresolved cited work.

Hierarchical Domain Generalization Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:04.917403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:04.917403Z digest=sha256:2ec826069d64933c0b0e819a1f7bc498a021cef6cc5076f0e553e3b462e8e533

Observation 91993eb4-be32-4153-a508-b3626b7dc195 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Hierarchical Domain Generalization Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:05.093606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:05.093606Z digest=sha256:71981c2178c93f6e461de12b3f580b2bb4f94c0ec42d7b0e59d9d211620c77c1

Observation 4ddadad1-6d5f-4040-b7b3-716568760dab · outbound

This paper cites arXiv preprint arXiv:2405.19932 , year=.

Hierarchical Domain Generalization arXiv preprint arXiv:2405.19932 , year=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:05.213696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:05.213696Z digest=sha256:3f35f5870bdf2ef0a768c20f88df034fbb6a8119b99714436be6a06b7ccb9070

Observation 65f70ce9-d43f-41f5-8c0a-398f8c56400d · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Hierarchical Domain Generalization Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:05.311456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:05.311456Z digest=sha256:babdef547dc59027fafd6368434c6274c6fe47b01aaecfffefb91b828cd8ea26

Observation b0432561-1658-41d9-a0d3-3c3166b96098 · outbound

This paper cites ENTP: Encoder-only Next Token Prediction.

Hierarchical Domain Generalization ENTP: Encoder-only Next Token Prediction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:05.382336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:05.382336Z digest=sha256:98113302b6d99400930feb4d69c64c5096f94d4103daa39258f5c46d2a55ed47

Observation d52774c1-9cf4-4ffe-bffc-6140e67f8c26 · outbound

This paper cites Theoretical limitations of multi-layer Transformer.

Hierarchical Domain Generalization Theoretical limitations of multi-layer Transformer

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:05.553053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:05.553053Z digest=sha256:15d2472041846767e3387d6fac4b81b26f13ca631e33ad5cf98a9bb41981e7d4

Observation 3c5245fa-5661-4330-a4c6-d918a6b62ecf · outbound

This paper cites Advances in neural information processing systems , volume=.

Hierarchical Domain Generalization Advances in neural information processing systems , volume=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:05.688219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:05.688219Z digest=sha256:8ef655c486cb638bbceeb24d80f60899879a800107ad1127a4f6d091e2ab2b46

Observation 1b85f3f7-df81-4302-ae40-93d23f50944f · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Hierarchical Domain Generalization Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:05.814123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:05.814123Z digest=sha256:7596e8c4374350788c963e42749788d6a9d25e004ef470977a05e1a261901eb7

Observation 5467455e-62c4-4f36-bb02-c66a93076958 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Hierarchical Domain Generalization Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:06.047123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:06.047123Z digest=sha256:0dc30e9a129f53f00e02aa0b3068f77b4388c5b5e5ff18267c3f16c6bd995a33

Observation 1be1db9a-39a1-49c0-93a9-70e21fdcf93b · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:06.180626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:06.180626Z digest=sha256:b1cd97612a2e02d67861a256fa2d53c168c010d9b2ae0c37b930d1e6ae188f97

Observation 0294abee-a0b8-49fc-9b03-714fa83bdf2e · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Hierarchical Domain Generalization Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:06.331130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:06.331130Z digest=sha256:6978d1ca42e689881f2903f3c1b2db22d2694415dc4441e5544ca7db62a5b655

Observation 6094a6b3-5fa3-415e-85fc-21f1b92e11d2 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Hierarchical Domain Generalization The Eleventh International Conference on Learning Representations , year=

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:06.535030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:06.535030Z digest=sha256:624ffb51b88fc954f609852efb3ca9b9a4f97f57fb66ba6c9dab5f3cb592a16e

Observation cbab4702-ac0b-437b-9def-68e0ebfad8a8 · outbound

This paper cites Decomposed Prompting: A Modular Approach for Solving Complex Tasks.

Hierarchical Domain Generalization Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:06.724837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:06.724837Z digest=sha256:1b911a23678d8eeabeb20fb7a88d31cdd3eec29e2e9f8112a534432a51f81a20

Observation 9ede8488-22d6-45f7-a36b-edda9ca94f2f · outbound

This paper cites Large Language Model Guided Tree-of-Thought.

Hierarchical Domain Generalization Large Language Model Guided Tree-of-Thought

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:06.808425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:06.808425Z digest=sha256:b7e119ca2e48fae825bbdbfb18778129c746774f1d6ac12678ae1ad951f17c74

Observation d36c835a-8f87-4e7b-b6f0-26f071a671f3 · outbound

This paper cites Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding.

Hierarchical Domain Generalization Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:06.920319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:06.920319Z digest=sha256:51ea3c48554938f96794b0e1abb937c36ac8320ef02f2b786f327adf79242f18

Observation 0c7701ed-59b8-4c17-92af-fcc3a7db4171 · outbound

This paper cites Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

Hierarchical Domain Generalization Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:07.057069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:07.057069Z digest=sha256:5c1c81c262d984b3c872c6cbec5de2dddf0dbdfc25718a8cc0a1dbd483b3efdb

Observation 5e4d3be5-19b5-4a83-8e09-9c05a06728d2 · outbound

This paper cites Advances in neural information processing systems , volume=.

Hierarchical Domain Generalization Advances in neural information processing systems , volume=

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:07.196011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:07.196011Z digest=sha256:586b5119333b5ea69d0604689bfd0abff1be6047344b9707b7ed247ba9082810

Observation 83364330-a530-4a4c-92fc-4f4a5934b70d · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Hierarchical Domain Generalization Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:07.349302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:07.349302Z digest=sha256:7dbad522e03899d3fef531dc4ba41c8271cb65ca5c36178c58e3e87b5f3eba4a

Observation 7689ad94-c82d-454e-91c0-314d31fcbc9f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:07.517082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:07.517082Z digest=sha256:9241cda4e4a1a6ca75940d1a55026a5bdc75294edb7c7ec0aa1e85ca98eb1f6d

Observation 6e60adfc-4849-4b1f-9eb7-76866ee55575 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:07.688392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:07.688392Z digest=sha256:9b4514552069156605e54743f16cea225db3f98bf8996c1d72dd908fa374f6af

Observation 9c0f7271-5d45-4f4a-98d2-a1ece012435b · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Hierarchical Domain Generalization Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:07.796455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:07.796455Z digest=sha256:12c978a0ce724496d45c08a4737236cf481e44ef11942089c1ef400c5e324ecc

Observation f1f3907d-8dd3-4a59-a68d-6a944429e7cb · outbound

This paper cites Longformer: The Long-Document Transformer.

Hierarchical Domain Generalization Longformer: The Long-Document Transformer

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:07.949832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:07.949832Z digest=sha256:047a167860c651c54e2e1121ec83b74106aade0c59ab4c788a8c1fe679bb5f19

Observation 0df7e43a-abea-433a-bf87-d0ecc85ac1fc · outbound

This paper cites Reformer: The Efficient Transformer.

Hierarchical Domain Generalization Reformer: The Efficient Transformer

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:08.107029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:08.107029Z digest=sha256:737d7b34b531d222825055c7f4405be37076391d2e7039333d4a070836a97418

Observation 3cd51573-1f28-4957-8d79-9109423b37e4 · outbound

This paper cites Advances in neural information processing systems , volume=.

Hierarchical Domain Generalization Advances in neural information processing systems , volume=

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:08.291155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:08.291155Z digest=sha256:99745abc6a5bfb6209a25e1db4db696c9230c56fceba58e7be35834525361e6d

Observation 5d0981d9-5996-4690-a665-577baec4616b · outbound

This paper cites Rethinking Attention with Performers.

Hierarchical Domain Generalization Rethinking Attention with Performers

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:08.421011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:08.421011Z digest=sha256:5d6c18a6eff3b12e6515a3a03fc6d9709d97ac3761a157b0881dadf6f7767bea

Observation f22a05e8-67ab-4324-98b2-101023e505d3 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:08.511692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:08.511692Z digest=sha256:8e776e291b4384cf8762e3cb8386531158f04d68df37ce0ecbb6e864a1a127b9

Observation 8c003081-64d6-4499-944b-ac596e9bfbf5 · outbound

This paper cites LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference.

Hierarchical Domain Generalization LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:08.630899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:08.630899Z digest=sha256:3c89ccf053bc289324756bf54712e44ba8e06fd27382bc6e2b65183eaac69501

Observation 6166ea97-6694-4433-b36c-47bd22a81b4c · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

Hierarchical Domain Generalization SnapKV: LLM Knows What You are Looking for Before Generation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:08.735106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:08.735106Z digest=sha256:67392b495176f236dd42b00de70be48109c1e95a7fa816f394cfc4f8855b1612

Observation a613a1ae-93f0-4f72-9b28-f777bcef99f4 · outbound

This paper cites Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference.

Hierarchical Domain Generalization Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:08.847193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:08.847193Z digest=sha256:ab009fd6f571aece3f9e733423a821e3c0ebb1c66f29484ab1049eebca6a98cc

Observation 33736fae-3ce1-4ba5-9549-fc249df81550 · outbound

This paper cites Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=.

Hierarchical Domain Generalization Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:08.960435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:08.960435Z digest=sha256:e7c756caa561210aeab0b351666f6ee46f20733adf2239db5bbbe1782d590f4a

Observation e27cbc51-3fc1-4a48-905d-fe59b0e9ded6 · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

Hierarchical Domain Generalization LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:09.109669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:09.109669Z digest=sha256:4f7621a64403fca7b679cfbb9559cc94b6b8e5e83e7aa5260a48596f9c31246c

Observation dd2e1e3a-7526-4fd8-b229-32111f90a970 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Hierarchical Domain Generalization Journal of Machine Learning Research , volume=

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:09.288263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:09.288263Z digest=sha256:b76a47ed6dc2bbb0ff47f30ba6892ce39bf169640f8ed9c279ae8d5d07e81405

Observation 660f73a2-93f3-41a5-97e1-093d06bc8d22 · outbound

This paper cites International Conference on Learning Representations , year=.

Hierarchical Domain Generalization International Conference on Learning Representations , year=

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:09.412311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:09.412311Z digest=sha256:5659c2b9de2b3fea0e030e54250bd6ef356249e760b72ddcc8ab56893cb524b3

Observation 6a2a5231-87d4-45d1-8aea-34d67a49be0d · outbound

This paper cites Ask, and it shall be given: On the Turing completeness of prompting.

Hierarchical Domain Generalization Ask, and it shall be given: On the Turing completeness of prompting

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:09.565777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:09.565777Z digest=sha256:f47be7c5fb3dd9d3c270332f03d8ef13fcef5d6c58c77369064d881e8a17f9cb

Observation b59dcaef-fb24-4447-bd8a-cd9889e4bc08 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Hierarchical Domain Generalization Transactions of the Association for Computational Linguistics , volume=

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:09.735993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:09.735993Z digest=sha256:3c0e46bcff52e423bd57e6032740867467652ee5a7b2fb042af0883baa2a221f

Observation c5ecfe0e-39fb-4b02-9252-f143e068b3ea · outbound

This paper cites On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning.

Hierarchical Domain Generalization On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:09.875107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:09.875107Z digest=sha256:285f404b0409c4dfe116e1c241c03f12f5c21fbfff104f602530cbff2d6e4205

Observation dba8f0e4-6dd0-410f-9587-99d0e989ab61 · outbound

This paper cites Memory makes computation universal, remember?.

Hierarchical Domain Generalization Memory makes computation universal, remember?

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:10.033862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:10.033862Z digest=sha256:fe18da7e57ffdbe47c8bd47832e99463accb4a33d9bf0d09da89a4c307312dac

Observation 581fd01a-ba85-4ac0-9872-0f23fb5977b1 · outbound

This paper cites 2009 , publisher=.

Hierarchical Domain Generalization 2009 , publisher=

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:10.218400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:10.218400Z digest=sha256:0515ef5cd2c2a119e788ee919885434cef22268b0ae0d9d7c3bee074f8b38577

Observation e32c7c1b-b4a0-418e-af66-8627aff5888a · outbound

This paper cites International Conference on Machine Learning , pages=.

Hierarchical Domain Generalization International Conference on Machine Learning , pages=

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:10.377167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:10.377167Z digest=sha256:67848826afca6096cebd903654fbbf02e15d8682031152627ac732581eac7723

Observation 85a9c847-400b-4dd0-9d18-eba00ff484c9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:10.502860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:10.502860Z digest=sha256:033bfd28e9dea17fd4b96e924059f99a325897bae2ea54054ab585068ccca9c6

Observation 21521808-800a-4dc7-8f79-d7033cd9f928 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:10.642970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:10.642970Z digest=sha256:928bad6d0f4185f287095c20093e39c3af1157b113ad733cffea4ed7f6e471e1

Observation 179848fb-08c9-4d45-b6ed-3fe3201710db · outbound

This paper cites International Conference on Learning Representations , volume=.

Hierarchical Domain Generalization International Conference on Learning Representations , volume=

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:10.792181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:10.792181Z digest=sha256:c8d7e9820a45d5a171bba756735c80ea41a317eec252f3974f4736e7aa1e3d29

Observation f4b80cde-dddb-4e7a-9ad3-78d7b5d252d8 · outbound

This paper cites Code Execution with Pre-trained Language Models.

Hierarchical Domain Generalization Code Execution with Pre-trained Language Models

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:10.903870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:10.903870Z digest=sha256:4162058fc53240a47de009d5120d5f3cff5056d8d952880c46f4556851fb659b

Observation 7a0251cc-10a9-489a-9d22-0b937e61ea5d · outbound

This paper cites Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion.

Hierarchical Domain Generalization Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.042189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.042189Z digest=sha256:22046555db426719eecfd3527eac4f3b8d75f789b93bcabac287d23be5d6ff1a

Observation abd0a391-855f-4cba-90da-2c539c19d07d · outbound

This paper cites 1998 , publisher=.

Hierarchical Domain Generalization 1998 , publisher=

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.165574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.165574Z digest=sha256:63359112f68d3f262a5a987fc08aecf3cef07f94af846495f98129ff7a7583f5

Observation 2fcab5cc-1684-417a-9e70-f0786ce96f93 · outbound

This paper cites Artificial intelligence , volume=.

Hierarchical Domain Generalization Artificial intelligence , volume=

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.269635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.269635Z digest=sha256:752e497cce3ce036e086f39634cda68b342440a53050a30dd7e960052f48b601

Observation 0bf6e034-3d02-488c-ae04-b61fa23f32f2 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Hierarchical Domain Generalization Training Compute-Optimal Large Language Models

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.337587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.337587Z digest=sha256:1e2be1da336cb5917c1937b0df1782b7da879c6bb7261139a727d8e1e07225b8

Observation 9e1a7e1c-25f2-4af5-9c7f-ec44b616b06f · outbound

This paper cites Neurocomputing , volume=.

Hierarchical Domain Generalization Neurocomputing , volume=

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.455201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.455201Z digest=sha256:c8a01c7224b622f86de15d9ce3737e4ebc5cdd3d2e0730b8b00841520c61936f

Observation 4b929604-508f-4694-8058-5e1581bdcf2e · outbound

This paper cites Computational intelligence , volume=.

Hierarchical Domain Generalization Computational intelligence , volume=

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.583981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.583981Z digest=sha256:4ffb7e26cc395fdf58a19e366cf54c52d93ed581eaee93c6163056f1c39e03b9

Observation faa40eef-3db6-4e05-b9aa-0c06c65e340d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.657065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.657065Z digest=sha256:699440daaae7ed384817a9209c179699179d1d1d0e443bab36019005dd5dbd4e

Observation b5ce8709-c9da-40bc-bea2-df74bf767e8d · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , year=

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.739050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.739050Z digest=sha256:8e0238a86a482cc52f562037eb9dcc658d407d9b111218a898867dee9cb114cf

Observation d3956a89-2659-4b39-9d72-07eea9f1b086 · outbound

This paper cites 1985 , publisher=.

Hierarchical Domain Generalization 1985 , publisher=

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.806154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.806154Z digest=sha256:e18aa61723a38768c9db886324b949de8c3affde527a3de6b15b3c08f149594e

Observation c7ce63ad-c595-44b2-8497-06ee4090aad1 · outbound

This paper cites 1992 , publisher=.

Hierarchical Domain Generalization 1992 , publisher=

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.874136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.874136Z digest=sha256:13f4a06b5f3f766005853ac69bd250394225145d5801c060d5125fa7908dc364

Observation ce650a41-d482-4920-843a-e5ea9f3b5205 · outbound

This paper cites Chain of Thought Empowers Transformers to Solve Inherently Serial Problems.

Hierarchical Domain Generalization Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:11.955988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:11.955988Z digest=sha256:d453cc660e055e867da411d6b50348360fc20f16ca18257eebb3adeb6a215e7b

Observation 7989de5e-4733-475a-a696-27ce14a3a907 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Domain Generalization Advances in Neural Information Processing Systems , volume=

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:12.025941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:12.025941Z digest=sha256:803ba45cdbc39b9ff6c8a73d4faef4c91ece4bc2815615e56a00fd078fd9a3e8

Observation fd5b2db4-c0c4-4cad-abd9-eba457e2400b · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Hierarchical Domain Generalization Transactions of the Association for Computational Linguistics , volume=

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:12.086125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:12.086125Z digest=sha256:65ab18b51ff964ffe18524f403015136579225802f6d7b389cb35bf83e12b9e5

Observation 97c7f450-4db3-4477-9eb4-0b9d953e3dac · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Hierarchical Domain Generalization Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-01T20:54:12.227221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:54:12.227221Z digest=sha256:33d56101a5f23bdd8a656ecc6fc8a5717abf2c93ff489e9d371c9ce02113356c

Pith citing papers

No inbound Pith citation observations are available.