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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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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source=arxiv_source observed=2026-08-06T18:24:28.519139Z digest=sha256:b2fbd3555b21dab460b75d7a3c9d4edac63de04cdee6913bef5838b4d0e80bc6

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=sha256:9549bab79527ee405c00b4b8c816b8c11b2b92ac101e363565d1116b3b87612a

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=sha256:4e76d6f32e8816acddd06c254b88262bf6c48e562ccf34a565042623113314c3

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:50.498713Z digest=sha256:c2935fa9a75f768494feceacc82f27fd85aab303711eecf5d9e0b4ad2b3130fb

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:50.640726Z digest=sha256:3bd51f85369af9432add2b3b7a140b8f7d4bea068d0627c18cd49336f83c094c

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=sha256:95e840726b275f07248d8ba6f10b17699f8744280b8ecabf4fb42a41ded90028

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:50.784162Z digest=sha256:a419d54d0e6d7120f5f3b7882fcffb4155464f32a7ba7d84a10eb30d5dfbe5a8

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:b294c43ee60adc4af96157c65e7127f62e04f760c47c83362e20222014703e32

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:a3b45069291b15fbf1e409bc38d08d5f0789bcd421d662d3a769948bba3f17ce

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:d69ef120fe720b52d00fd05e1e23675528c597e78d3e069d250172672cf6d3f1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:51.097829Z digest=sha256:1a61e9eeec2dc4fa0cb93d591a6eeee2d9bb34c2ecdd16257f7ce82d25408339

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:bbb5b06c60a03801dc9f35bdfcc1859eb5653dd41401d55ced646c900d292626

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:f4088aac9652ec5a891e13716417493abcc8734205e89355563be7f1b5e85f0d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:51.329154Z digest=sha256:2a5ef1e2960d8b2def8bc943fe80851e8fd4feb4c2656a4b9f17e71b8657c7f8

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=sha256:476b0513f58290de1ccec1446c71641e8dc51e8b063de7999249f5f36b03cc15

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=sha256:062d07fc2d14c6fc60816d0f1032b251fcc52176d2ebce154d942d2f331cf846

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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source=arxiv_source observed=2026-08-06T18:24:51.490944Z digest=sha256:80c9c5080294cbe6e82d2ebb58df815b0d74660ed6bdaa9555d5b6563e76e048

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=sha256:56abcb0df67ed08bcab56cf3a451109190f9b7e50c6ca7853999a4a4e37be0c0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:51.594294Z digest=sha256:6b982d64ddeebaa367731cd2efcd28ed9c40770ef287bcb4c5880837527212a8

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=sha256:867018c4bc0a06b14855ea4353a715849d0ce8cb286dfa4b1ea7f87f83fb6286

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=sha256:33a2ce41d3f02078382b2588f8ac60ac6335a0913468d55e57f39df07bb2f549

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:51.768941Z digest=sha256:479e8b1f89372e6b1ff2c737f5945bc4092475d615e179dd96b5b2b9e10c0a7e

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:abcea377393eed6ed662d66a4091751ca84d352440c3abdaa5911c30778fd976

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=sha256:262dcb2be06c554eecb093a49f50a2eae0d67d56ab4099aa60b2702100fc13df

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=sha256:82bc98bbb396c593b8678d312db68d50b5a1b5e287288edebc9f0f1c4aca3f7c

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=sha256:534a4d9b2be2ab1b3148ad7f5962f841cd8987ced3ba30bfdd0526041f08c9cc

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:52.067439Z digest=sha256:c1cc3d6cb6c68377b90a6bef186c0dc4e7d0500b6cf4a7af2013259c4ba4d994

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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source=arxiv_source observed=2026-08-06T18:24:52.158015Z digest=sha256:0f017822d2c6419ae1bdde10333f76da9ac888bc4a57b91d52dd92db0f8f322c

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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source=arxiv_source observed=2026-08-06T18:24:52.339705Z digest=sha256:8b9272640f48d4f05c6b7a7380b44607a86bf0fd3410f5e55f3449dc4f4dd8f6

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=sha256:6d42da9b60c2935b9c27f69ee87b737956699000edbe6425bcd6e453f97e1550

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:52.526185Z digest=sha256:a0aa07e511e23d1749d4e3a51586c9486120b416023810d4ca8f83cd1f40578d

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:52.581726Z digest=sha256:ca7357f1d5c1acd1048ca4440501371ff2a0dbbb71ce85875e2e26c1e8126f19

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=sha256:3d9bf6785d9ed7ca7ada8ad4cc70856d5e30388a7d26cfba7dcebf2edc206db9

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=sha256:3147cbd25b1abb11b6bdbeb91a4fec4ae1db30fc82a055557a61473e147d536a

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=sha256:58863de93aa2d2fdd5a823e6a6151b81b338e34a35c178d2efcdbb5a351932ca

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:52.832285Z digest=sha256:81f673bd783ce83857edde5b4bf070225ee09f2b40bc85b44499acddb99f52ca

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:52.915741Z digest=sha256:bada703dd1c3e3ae82aa058da16e4447ee445f049ef3dd73bc93a6db1ab33c3b

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:cbf1886e1f3bba5124b19a3d97c93b8726a1ddbcddf4f42cda07959a30a58629

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:52.984370Z digest=sha256:f042618d5ed504bf5bb1e615ed58e256ee073e615e9cf607f6de8d56bf0d3fb7

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:cd3ac5d8c95c4120a04b90de89a9bba6b0d9ce9e9f76f97786401b1aa29c9d92

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=sha256:146e0a0da9e7cf4556d11da77d9ee5edb1c94347ae7842b6696aaaa044a8f757

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=sha256:501381be3d8ed2c4f5c15aa11f3250bd77c0b880839f00b5275ccd92c324ec1e

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=sha256:612377b494b4c3c4e0f2f96afc8c997d73d3ad19c4e01627c5b8ca538959ac0b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:53.306584Z digest=sha256:b1e7d0a2520760b7532782658878ed8a2192f77da12611727c5b7d8cc5017f65

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:53.393592Z digest=sha256:8d2920f035402751495fe9e74a520b912235d7c3f654567be156e0a8c7bfb681

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:53.426149Z digest=sha256:ed536bb42568e1e7fa134c9d7c9861c5eae5b2830b2a0a0425e9ba248e26e22d

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:ebe2b6fe85c67f8b44b8e1e204e2105a0a74b635d4190a4bac49655342284e88

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:53.538746Z digest=sha256:e121840373b40f09b3d682940c57a5b8e44b19317585df874e390e9148c05253

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:24:53.577831Z digest=sha256:10f76d1b162c8bf133e5f0623c288f1679383ae8b345f6ace1f45c2c41d34c04

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:e9bcb75f718678581ef580f77d06fd0318322d82cc9b243353771978d8621d7a

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=sha256:26a6dc3fafbd7eb52ac3ee33ac72c172f3346331f01a226eb82d6cf106c76270

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=sha256:966b557e6969e44096448ea5faea450ad0aeb452ecc5b6ff4dab0b9f23204373