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Paper Citation Record · LEDGER

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2509.00925.

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

pith.paper-citation-record.v1
2509.00925 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:15:07.200753Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

44 of 44 outbound references displayed

  • verified exact3
  • verified fuzzy8
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3f699ca-ac0b-47d6-b4c9-4830b074f78d · outbound

This paper cites an unresolved cited work.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Unresolved cited work

Reference 1

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raw_fallback, observed 2026-08-05T13:15:10.294455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.058319Z digest=sha256:c821a05f8f40bc31efa948b404e6e8a5b96933171d287d9320a20a14255bbc63

Observation 41be9d1f-6c9f-428e-b970-65f0b4d4ea5e · outbound

This paper cites Simple linear attention language models balance the recall-throughput tradeoff.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Simple linear attention language models balance the recall-throughput tradeoff

Reference 2

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no resolver link, observed 2026-08-05T13:15:07.062399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.062399Z digest=sha256:6dda7d96d3b5a1627a1ddebc261e2e81b2b1adc91691b564d3b6506ee5fbfa76

Observation 9121bd7f-f2ef-4ea5-8be3-a0b1522f129f · outbound

This paper cites Longformer: The Long-Document Transformer.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Longformer: The Long-Document Transformer

Reference 3

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no resolver link, observed 2026-08-05T13:15:07.066319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.066319Z digest=sha256:d9731ffef03b57c3bfec0a29af02f6a087d38cd236c5f0d6bdfb2a4305d5ebed

Observation 7eb659e3-1c8a-463b-b8b9-6e981f48036e · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 4

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no resolver link, observed 2026-08-05T13:15:07.070082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.070082Z digest=sha256:4e34805ce4af20ce9888d106c42daa24a070df9c62166678d404d5205fc016b6

Observation b0bc24a0-f67c-4a8e-af65-01961e3c6a1f · outbound

This paper cites Flextron: Many-in-One Flexible Large Language Model.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Flextron: Many-in-One Flexible Large Language Model

Reference 5

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no resolver link, observed 2026-08-05T13:15:07.073748Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.073748Z digest=sha256:5559d6e925f9d84a03fee5932fd8ee6dd49a8a11a62038288ff9fdd1832488ab

Observation 28bde315-1f31-48ed-8b91-c5a66c87cd91 · outbound

This paper cites Head-wise Shareable Attention for Large Language Models.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Head-wise Shareable Attention for Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:15:07.547386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.077043Z digest=sha256:3d96d257592ea3ad18aa70439f684ec984122f34d4ff6e2b27986dc5b533a96e

Observation e765b3a4-641d-414f-8283-c118b12b55f4 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Generating Long Sequences with Sparse Transformers

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.080449Z digest=sha256:a7f1a7c2e41a568f83d1d04b9fd09ff3646386364189a1afa1cf52ed8a3e48a0

Observation 83978910-e782-41ce-a73a-c0281db38f7d · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.083624Z digest=sha256:f92d600b13ccea012fb25bfb92a11e1e4c9cb470c1b65eddff35fc22866afecf

Observation 1d7ad038-85c0-48cd-98a7-9ca5cc09961a · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

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no resolver link, observed 2026-08-05T13:15:07.086780Z

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source=arxiv_source observed=2026-08-05T13:15:07.086780Z digest=sha256:1442e01db43fdf434e932a995fdd3989076dcb529595e00d0059a23bedb228d0

Observation d884915c-cff0-43d5-86da-4e3e40d95493 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.090022Z digest=sha256:728d6eb9699739d99a86f52675479ec3a39aa1e72c01bcf2bec6dd81a977ead6

Observation efc560a9-4522-4389-8c3c-e1093521abf9 · outbound

This paper cites an unresolved cited work.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-05T13:15:10.170279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.093319Z digest=sha256:b1b36d626200e818c730056ca2af07b880c473c2ff27e7b8cd42b4935a6c5e72

Observation 25956d3d-2ece-4dbc-bcf9-d6d2a8a4b5f6 · outbound

This paper cites Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer

Reference 12

Resolution
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no resolver link, observed 2026-08-05T13:15:07.096284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.096284Z digest=sha256:b2aaf81eb4b5607d8df5af06fba3858c2b495f122f4ab256d7a8d1eab6c53ba7

Observation d463b446-1750-499e-a3f6-cee254e4d462 · outbound

This paper cites LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Reference 13

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no resolver link, observed 2026-08-05T13:15:07.099543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.099543Z digest=sha256:c2c7527525dd43d6432f7fa92afad9599093817892086be2a96ba7699ef110b6

Observation 2c35b25c-5c18-4e69-a0a2-a624fb4ceaa0 · outbound

This paper cites an unresolved cited work.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:15:10.028275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.102537Z digest=sha256:8a3dc2cac06526a98f477c9680c429f87ed334ea865716652c7e22ce3af82950

Observation 0f5f118f-f32a-480e-8750-7575f26a2c47 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 15

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no resolver link, observed 2026-08-05T13:15:07.105304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.105304Z digest=sha256:b461d736e8fa589f15943f5dcf60d864ee4a7f542b95dd284f5f21da2ef30755

Observation 99dbd671-1dee-4c71-a5a2-179e4cf0876e · outbound

This paper cites Measuring Massive Multitask Language Understanding.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Measuring Massive Multitask Language Understanding

Reference 16

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no resolver link, observed 2026-08-05T13:15:07.108421Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.108421Z digest=sha256:87db91c1ff5d9c2a27ca68b00b3e2a7ba9c4747c83a809cf6cf94bb4d4217fb2

Observation 853bfd66-04c3-49dc-b9fd-1cfd3d2fc126 · outbound

This paper cites E.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; and Chen, W.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers E.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; and Chen, W

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:15:09.814107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.111423Z digest=sha256:3afcdabd6f80cd6c6f60de0197d96e8c72b9559ceee2476ef9693fd72e9daf9e

Observation c58a07cb-5980-4f25-83ac-00dbb0ef1df2 · outbound

This paper cites Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models

Reference 18

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verified exact
local_arxiv, observed 2026-08-05T13:15:07.390581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.114782Z digest=sha256:de77112fddf320ed795305522f9c346d7a9e192defcf50438107293db04e33f3

Observation 3ec443d8-7776-45c9-a2a7-abd1d9aae3cc · outbound

This paper cites an unresolved cited work.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.117955Z digest=sha256:ce3b18180e219f62cb2e892787c703cba9fd22009b9076242334ad705cf36856

Observation f5efd3aa-94bc-4af3-91d0-cabf03417bd6 · outbound

This paper cites an unresolved cited work.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.120812Z digest=sha256:3ab5dc943698c7ee9cae0451a10cf88107fe1c5caef62184ebbe4de983d457d4

Observation 62185060-e062-45ed-8088-fafd5bb24359 · outbound

This paper cites Reformer: The Efficient Transformer.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Reformer: The Efficient Transformer

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.124404Z digest=sha256:436e65c43ad55e699e6c96b44bffa10f0c6a308db620e008821e438bb02bc657

Observation a6694a17-6e5b-4fac-a3fe-030d8ab008c6 · outbound

This paper cites M.; Melis, G.; and Grefenstette, E.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers M.; Melis, G.; and Grefenstette, E

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:15:09.185480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.128415Z digest=sha256:71acea3a9bd081f9f4abe4cf06315a373a6a64d158e878fecfce229a049eb655

Observation bec9f1ad-56c5-4e07-b7de-6266a43d9933 · outbound

This paper cites S.; McCann, B.; Xiong, C.; and Socher, R.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers S.; McCann, B.; Xiong, C.; and Socher, R

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:15:08.980401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.131925Z digest=sha256:73b6b04a997aa6c854fc007bec11099e267df6e766d56f0041a0f94acd9ac6f1

Observation 94be5472-54db-4bf8-9c7d-3b65df337f9b · outbound

This paper cites Decoupled Weight Decay Regularization.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Decoupled Weight Decay Regularization

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.134862Z digest=sha256:a441e3beec708b4b4e1e744bdf07e65be1d6b15d81b606c8ec57147b85fdca84

Observation d863ac41-1299-4d1e-bd49-934e2effc062 · outbound

This paper cites Pointer Sentinel Mixture Models.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Pointer Sentinel Mixture Models

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.137928Z digest=sha256:14bd570ab35362783574a401144ddb1432c2f1468be81685a93e816433199c3e

Observation 92ee500c-25bb-49b9-abf2-dee16f876775 · outbound

This paper cites an unresolved cited work.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-05T13:15:08.788506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.141835Z digest=sha256:391de834334c2c280c2e88181f3aec07972e77ad27d96c5c40ab0fc2017a5a0a

Observation dce09e67-333f-45f7-ae11-67a7c64c25f8 · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 27

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no resolver link, observed 2026-08-05T13:15:07.145642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.145642Z digest=sha256:58976638dbb32e1b7cfb4390a2277d8859aa40be576bb47b0332f17d614591d3

Observation f20b9194-a155-4ebf-8fb4-61ca21be153c · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 28

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unresolved
no resolver link, observed 2026-08-05T13:15:07.148938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.148938Z digest=sha256:2c9d6cc83f726f4a0bef002607ef1173acb21a1bef59a6c19abec102bb70815b

Observation f735fe3f-62c9-486f-811d-022fb8dbfe75 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers YaRN: Efficient Context Window Extension of Large Language Models

Reference 29

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unresolved
no resolver link, observed 2026-08-05T13:15:07.152189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.152189Z digest=sha256:03592f2ea3662571a822ed230da7b256f9ad095893e689078f5de5283067ebee

Observation 8b40b90b-1906-4ba3-961a-315d3efe52db · outbound

This paper cites W.; Potapenko, A.; Jayakumar, S.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers W.; Potapenko, A.; Jayakumar, S

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:15:08.619621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.155366Z digest=sha256:dfc9861c2457f5fbb12163ab94dd272647f1dcfbab06a23b0fcede63244a2d7e

Observation fff43e8a-bc7b-4ad3-9a8d-12ba4d106de0 · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 31

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unresolved
no resolver link, observed 2026-08-05T13:15:07.158314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.158314Z digest=sha256:86457c0410e13b572f27e0410086e8cce7e45325f6d3a5c40371a4746731cbd6

Observation 3040d4ba-b761-410a-8f29-d4f39987d6db · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 32

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unresolved
no resolver link, observed 2026-08-05T13:15:07.161454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.161454Z digest=sha256:fd045f4208f46e205f10f35e0ff6bdedfc72ea23d2bcdd1fe85a523964e122bc

Observation 7743c36b-865a-4c97-b872-9d51df98b5c5 · outbound

This paper cites M.; Mirhoseini, A.; Maziarz, K.; Davis, A.; Le, Q.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers M.; Mirhoseini, A.; Maziarz, K.; Davis, A.; Le, Q

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:15:08.462528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.164595Z digest=sha256:f7e0c582c0e00793e760d7a9db02eaeb2f99abceb3501a9f1d570d5d307691f0

Observation 4040624e-1a52-449c-ad62-3e59d3d9a76d · outbound

This paper cites OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference

Reference 34

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unresolved
no resolver link, observed 2026-08-05T13:15:07.167572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.167572Z digest=sha256:c7a4acb996f06e6372f02249fdee1d3b21e1762feff6118f592daf480a6a74ab

Observation 8d75d5f9-0a46-4520-8674-ac12c52ed40f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

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unresolved
no resolver link, observed 2026-08-05T13:15:07.170777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.170777Z digest=sha256:720d56e42291db31f428906982f1562e58c363b68f41aafa5ce1b3acafa00703

Observation f065fb5b-e07a-4369-882b-03e863d92396 · outbound

This paper cites S.; Chen, B.; and Ghodsi, A.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers S.; Chen, B.; and Ghodsi, A

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:15:08.210913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.174361Z digest=sha256:537d8aa6753be0af67c942f1bd2597c191cf0772b650a77e12f7e43a45e0800b

Observation 7d73eba1-1e24-48a2-9f75-859375b8544e · outbound

This paper cites N.; Kaiser, L.; and Polosukhin, I.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers N.; Kaiser, L.; and Polosukhin, I

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:15:08.038303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.177337Z digest=sha256:6990a92cecacd732686e6d79c61b9a29b6871916feaa415255c036f07ebdeb1d

Observation abfc1c00-c32a-4268-bc33-6ef5d57a665e · outbound

This paper cites an unresolved cited work.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:15:07.892571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.180138Z digest=sha256:050a3d90790bfd8b2bb599b77b94ee7d673621db0bb36bea42f11839d5e12301

Observation 82a0b1a5-1839-468c-8473-ff1b566d0048 · outbound

This paper cites Optimal Design of Climate Disclosure Policies: Transparency versus Externality.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Optimal Design of Climate Disclosure Policies: Transparency versus Externality

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:15:07.268618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.183007Z digest=sha256:6fc81186c2f9d6c95537d4d3fc5ec3594e136b6425dd5878306e3f4988ddb833

Observation 08ee7987-aa82-4295-9901-8e73a2139ff3 · outbound

This paper cites Neuron-Level Knowledge Attribution in Large Language Models.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers Neuron-Level Knowledge Attribution in Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T13:15:07.186021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.186021Z digest=sha256:84d0e87dec0a48f7c7f5b1b93f24e4015a94eb52de5fac7816ca1fbbd5867dce

Observation cdca1846-89a1-4574-88c4-98aaae1800c6 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T13:15:07.189056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.189056Z digest=sha256:7d3d20191cbcda4dcada7e60d47b859e1bf99545912779e7207be0f515d9b90f

Observation c6686c38-a31a-42c4-aa90-eec1572b69a0 · outbound

This paper cites M.; Le, Q.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers M.; Le, Q

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:15:07.735829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.192278Z digest=sha256:c83bd475a73166db3ad49c6dfa38c2f7e005c4b9815995039fd127702762fdcd

Observation 71ec8b93-d138-4b27-825f-8282bf204612 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers , " * write output.state after.block = add.period write newline

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T13:15:07.195444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.195444Z digest=sha256:fcde70ba83089665fa50643bd6896a9a55dd5dd57789a4499497a21b08450497

Observation 806d7ddd-831a-4ac7-86fe-7a92118e7db0 · outbound

This paper cites write newline.

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers write newline

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T13:15:07.200753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.200753Z digest=sha256:0ca3d30978639324f800a13479d052f03579da636237e061e08d42ef892c3a30

Pith citing papers

No inbound Pith citation observations are available.