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Paper Citation Record · LEDGER

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling

As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2507.08567.

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

pith.paper-citation-record.v1
2507.08567 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:24:53.694553Z

measured 53 of 53 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:03:50.757900Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0986d064-83ce-4e82-b2b3-de36bd79dc96 · outbound

This paper cites Ainslie, J.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Ainslie, J

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:28.519139Z digest=sha256:15784df95a73931b8e2a5a1eaac9e57f3acf8d0e6cc40d50676543c1b1ccef34

Observation e933eb76-2f04-4482-ae73-50ecf68a314b · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 2

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source=arxiv_source observed=2026-08-06T18:24:50.360511Z digest=sha256:6a72b3777a106bbfc66b9fe89ef537acfc9965b528298d7942da1760ed99a326

Observation b55c4c5b-ede5-4200-a7b2-b9759e0f6063 · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 3

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source=arxiv_source observed=2026-08-06T18:24:50.454653Z digest=sha256:04fae2c3c3709060a063d7e1a3bf89fefd91f82ab4ae9f3cae56065e562e8be0

Observation 51073749-5881-4eaf-80e0-2be1b4b06fda · outbound

This paper cites Amd-llama-135m: A 135m parameter language model trained on amd instinct mi250 accelerators.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Amd-llama-135m: A 135m parameter language model trained on amd instinct mi250 accelerators

Reference 4

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raw_fallback, observed 2026-08-06T18:24:56.832168Z

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=2026-08-06T18:24:50.498713Z digest=sha256:eda2ef60735c2421764ac5149dc4168224ec4ecf14f1e982880776faad031ee6

Observation d989930e-9b21-4bd1-8ff0-98c2e70e9f43 · outbound

This paper cites an unresolved cited work.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Unresolved cited work

Reference 5

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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=2026-08-06T18:24:50.640726Z digest=sha256:ab7733df25e54fd7eee69f2d0745936b49796eedfb4bb01ea15ddb4d1622f04d

Observation 2f62dd00-4655-4ac9-a1a8-853883565608 · outbound

This paper cites Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA

Reference 6

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source=arxiv_source observed=2026-08-06T18:24:50.723795Z digest=sha256:9e6a00353fea73cf7bb71dc29580d13258114fb6ffc3161f6aebda384a0766f5

Observation eb4477f1-0c8e-4448-87bc-8e3959678c45 · outbound

This paper cites Ben Allal, A.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Ben Allal, A

Reference 7

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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=2026-08-06T18:24:50.784162Z digest=sha256:de405e71f036251cfbcc015704763304f84ba8276426fbade090382fa12d9b27

Observation b54a9154-5247-4838-be06-0485c8577ffc · outbound

This paper cites Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries

Reference 8

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source=arxiv_source observed=2026-08-06T18:24:50.877965Z digest=sha256:b5cf2fe9493a7ca76e42dd1bf7812bd20008c508f691992068badee35c2f1cad

Observation bb261174-45c6-44d0-aad2-1f3c89b0f987 · outbound

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

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

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source=arxiv_source observed=2026-08-06T18:24:50.967120Z digest=sha256:0ead59bbe774f4fc3b0b2019cf6bf742ddab30bead4d6f309621b53c6ab9e340

Observation 7a49c9d7-fa29-4dbe-99d6-9ea90028e3df · outbound

This paper cites DeepSeek-V3 Technical Report.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling DeepSeek-V3 Technical Report

Reference 10

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source=arxiv_source observed=2026-08-06T18:24:51.055759Z digest=sha256:87382679e44172b0420599f6a9fd5b68e3c28c78636d880b3bcf0318e4577bd7

Observation fb33fff8-a590-40fb-993c-0f5d80f94c45 · outbound

This paper cites Dehghani, S.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Dehghani, S

Reference 11

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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=2026-08-06T18:24:51.097829Z digest=sha256:4c22abf117155b846c20f26d8252a3ab56b7959e1ee10c428a18ade1cf76f487

Observation 33aae63d-db23-4645-aa10-691cc4d1adb6 · outbound

This paper cites GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Reference 12

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T18:24:51.180698Z digest=sha256:65dc45dfbd5b28d9c7da39e181b813ec88fabb43c280fb3a2c5b0047e336ba5e

Observation 46a468cc-783c-4527-bbd1-388dc74811f8 · outbound

This paper cites Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Reference 13

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source=arxiv_source observed=2026-08-06T18:24:51.254474Z digest=sha256:0dadfb2bdf69771fb140075870636691409ddff290f08f2754dc51d7ed417cea

Observation 8fa1cb74-df89-4dd8-a663-b9604b6cd199 · outbound

This paper cites Elhage, T.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Elhage, T

Reference 14

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raw_fallback, observed 2026-08-06T18:24:56.468284Z

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=2026-08-06T18:24:51.329154Z digest=sha256:3a2596c2cdd0bbd4b5180ca301f2d99fa8283cd15b2b030914c8f0e5bb7a20be

Observation e752d707-62d1-4f84-a46f-a703c0e81085 · outbound

This paper cites Elhoushi, A.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Elhoushi, A

Reference 15

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source=arxiv_source observed=2026-08-06T18:24:51.402162Z digest=sha256:4ee5670e8fff7920ab5dbc56f36fb4fdf26a4e935579a20124990c60d35b1b3b

Observation ec931f3a-5d9b-4e1a-b351-2bc27cd39f80 · outbound

This paper cites Reducing Transformer Depth on Demand with Structured Dropout.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Reducing Transformer Depth on Demand with Structured Dropout

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:51.447217Z digest=sha256:a6dfbbe4d9132110e7c71cb9088732bedcd56343c1052e6c00b51b5e5f2eb63e

Observation a6c96572-747d-4315-a1d2-143b367baa57 · outbound

This paper cites Fedus, B.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Fedus, B

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:51.490944Z digest=sha256:35c8d5f2afcfbd74ed4d92e53d481e0e5afebab949fc66c162711e21cb6be434

Observation 47c742ce-67b1-4885-8182-7f9619a74435 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 18

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source=arxiv_source observed=2026-08-06T18:24:51.542342Z digest=sha256:139bf470c7fd63ab135b1d3a4c6204b7bd6e4ab3fb881157654b6fd4186d7e1e

Observation 7fd2edf2-3826-4728-b517-1c44db272814 · outbound

This paper cites Giannou, S.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Giannou, S

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=2026-08-06T18:24:51.594294Z digest=sha256:4c1b4576dc12f2fa127ed35ef94a9128304b2e37387304967346db6eb72ae18a

Observation 05aefa93-5cab-406c-b740-82828b83fafe · outbound

This paper cites The Llama 3 Herd of Models.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling The Llama 3 Herd of Models

Reference 20

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source=arxiv_source observed=2026-08-06T18:24:51.643712Z digest=sha256:60ef5e1ca21173be7ec0786e9c3b7a75bd78f0377eaf255a76b2562f351e1517

Observation 72a545bc-8087-4a8a-aa7e-630f1b08f00f · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 21

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source=arxiv_source observed=2026-08-06T18:24:51.712788Z digest=sha256:8728ae8c719a99e710ea3c57362b2709f071b1a7443598d9e9ec6a8e6cc64c82

Observation ef15c343-68d2-4ff5-a21a-b5828d6a6c6e · outbound

This paper cites Gurnee, N.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Gurnee, N

Reference 22

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raw_fallback, observed 2026-08-06T18:24:56.291389Z

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=2026-08-06T18:24:51.768941Z digest=sha256:1ab3f33a700c663551b24d54b1cc54661ddcf8a6436b99dd6a1ab973eda5fbdf

Observation 690ffe70-b574-46b9-acfe-b502b526f99a · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Training Large Language Models to Reason in a Continuous Latent Space

Reference 23

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source=arxiv_source observed=2026-08-06T18:24:51.828142Z digest=sha256:c518071d022b27827f018cc564cd05e0aad5f412acc2b4402a375a3d876a6103

Observation 9d32cf51-1bba-4d3c-87c1-5760f7693ec3 · outbound

This paper cites Training Compute-Optimal Large Language Models.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Training Compute-Optimal Large Language Models

Reference 24

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source=arxiv_source observed=2026-08-06T18:24:51.877257Z digest=sha256:3b3845bada85cf89c4310ad06acfa27991712154e6bcc6e40b5d483262188a7a

Observation 38564328-ae9b-4c2c-b84e-14c4417e274a · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 25

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source=arxiv_source observed=2026-08-06T18:24:51.917037Z digest=sha256:1f9afd7c3969c08f5c1ab9e90569a367842773d965599e58d4d14401c6c4205a

Observation a50d57de-612e-4e2e-b028-99df93492290 · outbound

This paper cites Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 26

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source=arxiv_source observed=2026-08-06T18:24:51.960524Z digest=sha256:a07a10ebdc09c9d2c5765be70b0ea6df9ea4d8034ff034f24195ea258f1585cf

Observation 23ef0db5-f920-4fcf-9212-ffa3369e5b1d · outbound

This paper cites Jumper, R.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Jumper, R

Reference 27

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source=arxiv_source observed=2026-08-06T18:24:52.067439Z digest=sha256:b3acd8e4f8a096085238b137c2befd160dd2a27c5094b1caae204131b9578b9e

Observation 7b93b95e-8058-4561-aec0-10de7ef72e3f · outbound

This paper cites From Tokens to Words: On the Inner Lexicon of LLMs.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling From Tokens to Words: On the Inner Lexicon of LLMs

Reference 28

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:52.158015Z digest=sha256:7a58739cf582f1f4063ec3c88c53e5ee6f0e8820d94d534950bee16f693029b2

Observation eb0f3e28-f23a-40c2-ae43-263f544bd55a · outbound

This paper cites Scaling Laws for Neural Language Models.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Scaling Laws for Neural Language Models

Reference 29

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:52.339705Z digest=sha256:4a0a18b41411c96ec63e868b8b269093ee133c2941257b5c922e541eb420703e

Observation e19c0410-d37f-4d53-985c-54fa511e7a64 · outbound

This paper cites Katz and Y.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Katz and Y

Reference 30

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source=arxiv_source observed=2026-08-06T18:24:52.446910Z digest=sha256:70c621e8ca7784d614cc17284f1eb8574b6bf84a586b577e1ad58f73a2c77e11

Observation a17950f9-d43e-43ad-923e-41a0aadd747c · outbound

This paper cites Kocetkov, R.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Kocetkov, R

Reference 31

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raw_fallback, observed 2026-08-06T18:24:56.181833Z

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=2026-08-06T18:24:52.526185Z digest=sha256:2ce223556915112493384382e72fd0b08f819e5ef0ac902e3f295995da7b422b

Observation ed107d88-ad04-449f-9031-b053782ce667 · outbound

This paper cites an unresolved cited work.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Unresolved cited work

Reference 32

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

source=arxiv_source observed=2026-08-06T18:24:52.581726Z digest=sha256:05eb0f80b446cb23d9d2a6015d563d7583494b6b008cb7709a93fb9d231de0df

Observation c82144f6-959b-4d5f-8d9c-cdeb95b0f275 · outbound

This paper cites An Empirical Model of Large-Batch Training.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling An Empirical Model of Large-Batch Training

Reference 33

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source=arxiv_source observed=2026-08-06T18:24:52.651933Z digest=sha256:bb93c29f9bf05b66e90ac0fe900412408679aac974db921e3b2bc42db3979355

Observation 687d822d-3e1e-4805-9a3d-793a01feffd3 · outbound

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

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 34

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source=arxiv_source observed=2026-08-06T18:24:52.721315Z digest=sha256:da2e98e1089b5e27b633ccea8d64a9f4fcdd3b4f3fbb2c55e37ecda5f4a3422e

Observation fed04b50-e622-4bac-a766-989e84841ab3 · outbound

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

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 35

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source=arxiv_source observed=2026-08-06T18:24:52.777297Z digest=sha256:759f9c8759f15672f551add06294a40e41a3241aa4de0e36ec362091232ec3aa

Observation 84db09c6-6411-401f-9337-db29c7da6a24 · outbound

This paper cites Penedo, H.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Penedo, H

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T18:24:55.987363Z

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=2026-08-06T18:24:52.832285Z digest=sha256:923847d7e6586471eea8dd95e8d38c48e69937af26e12a060cf314ae3e2f6816

Observation ef36035a-84e1-4903-a944-ca3ef68096b1 · outbound

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

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:52.876170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 02223b14-8e38-4339-aa56-dbe425c8f2c5 · outbound

This paper cites an unresolved cited work.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:24:55.862753Z

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.

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Observation e7098408-3cbe-4443-87ec-9a16f453c9c8 · outbound

This paper cites Efficiently Scaling Transformer Inference.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Efficiently Scaling Transformer Inference

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:52.949143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:52.949143Z digest=sha256:34d7da89f0625e7ad19954eaf0253eb2bf958b5872e4ec7aed590b5d8a4258dc

Observation 31d3f3a8-4f15-4e54-be83-d979b84e72f8 · outbound

This paper cites Radford, J.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Radford, J

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:24:55.703176Z

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=2026-08-06T18:24:52.984370Z digest=sha256:063b7b8021d51465b342c91fa60641b60aeceb2f9f9aa6655c5100c1dc98a46b

Observation 2d62733d-c67f-4723-b6bb-1d9daa5ba4b4 · outbound

This paper cites Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:53.030563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:53.030563Z digest=sha256:ca87c77edc8668f1b5bbec751c189fe2788d9a0dad7130ee37934b3e1545a044

Observation 94cc882c-be6f-4718-b453-3998202f4e5d · outbound

This paper cites an unresolved cited work.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Unresolved cited work

Reference 42

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unresolved
no resolver link, observed 2026-08-06T18:24:53.061994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:53.061994Z digest=sha256:03372806e03d8d2e609a3fbf8b9b8ddaf4c60502d8aec3d75360cb784054b216

Observation c205bff2-34b6-48d9-8ffb-c5510f262aba · outbound

This paper cites an unresolved cited work.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:53.121734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:53.121734Z digest=sha256:b48d06eecea714cc10b88b903a0807f1cfc97c4b382cdd1ebba213ee285dafd6

Observation 87d7d031-07f8-425f-b592-bc4a429133cb · outbound

This paper cites CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:53.198526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:53.198526Z digest=sha256:9da931be1e6e4ebb0e7c06b7083ae4ea70653012a5688cfd708fd0477e3f1f32

Observation 787a072b-5ad8-4df8-a39d-f505bdcdaa4f · outbound

This paper cites Vaswani, N.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Vaswani, N

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:24:55.587733Z

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=2026-08-06T18:24:53.306584Z digest=sha256:b772fd5c902125846892e66e5e16a7c0ef67c407b59041898322fca2b31d3c35

Observation b26eff59-a026-4a33-8d45-5941a6f8ed4b · outbound

This paper cites von Platen and T.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling von Platen and T

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:24:55.441074Z

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=2026-08-06T18:24:53.393592Z digest=sha256:fb498fe13dcf0d351f19c0c3eb6788a423f0f300fb8e74dcfe5863b57c23436c

Observation 6f75a02b-7043-4517-9281-9c522f6ca364 · outbound

This paper cites an unresolved cited work.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:24:55.316951Z

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=2026-08-06T18:24:53.426149Z digest=sha256:3b0e1c7d3245008e35faf7c19451f692856373d36e16f987d21ea3a3955a78a2

Observation 9064938b-af1a-41b0-9766-ae704dcf6a9f · outbound

This paper cites Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:53.489848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:53.489848Z digest=sha256:d15d53528c1a532c53835b2a36bded2001f49d17f07643618d88be7706b7df6c

Observation 4dd69736-ecab-432c-8cc8-cc5e120a6b66 · outbound

This paper cites Xiong, Y.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Xiong, Y

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:24:55.242697Z

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=2026-08-06T18:24:53.538746Z digest=sha256:57ed8d503ed12511c7ea7cd4c5d29cea546fa99378c27f106f86fdb0773326da

Observation a260dd39-8e5b-463c-bcc8-9f7c570af946 · outbound

This paper cites an unresolved cited work.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:24:55.156418Z

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=2026-08-06T18:24:53.577831Z digest=sha256:93ecc23e64c6419cf939c15ae92a6583909f8fcb24cbe11917d29a98c288a867

Observation 63f23065-026c-4d15-b7c7-faac18331817 · outbound

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

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:53.638982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:53.638982Z digest=sha256:f47a0d2afcf091753bf77f52d5183795d8f2c20406212f83b49b0eb5d2fdd1c5

Observation e70fc657-360d-4dcd-849a-0188847eab98 · outbound

This paper cites Root Mean Square Layer Normalization.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Root Mean Square Layer Normalization

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:53.694553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:53.694553Z digest=sha256:4a66cfe9481ff5b290bdaba3a78d4910403d1ae80a5115f0efbaf55f49a109d6

Pith citing papers

Observation 5d48551d-7113-436d-ac92-ba1897911922 · inbound

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning cites this paper.

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T04:03:50.757900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:03:50.757900Z digest=sha256:4496dee56ddc1a6022b169f69b419fe712a46e84325ebda343eec90e20bcf785