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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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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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=2026-08-05T13:15:07.058319Z digest=sha256:02e69e5ca05835f3569d414bc2eb9e9c3c5719476345d47c6804062e0fea61a4

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.062399Z digest=sha256:89992274d9d05138857b12f51da9dff876b4ebd3910a323a37255657c2f24e46

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.066319Z digest=sha256:83f7d4e3a00ff76c1a667cc0e63a8adf090856bb9fafcba8ceb69ca7ba931fab

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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source=arxiv_source observed=2026-08-05T13:15:07.070082Z digest=sha256:32161b6db07cd281948dd636f23893ef2a4b94f64e8fd5134e21f1b9ef22ba98

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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source=arxiv_source observed=2026-08-05T13:15:07.073748Z digest=sha256:d1e14e261f4597691265f0959efe7f85bc834e2f4267a8001aec8deb2d49f322

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

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

source=arxiv_source observed=2026-08-05T13:15:07.077043Z digest=sha256:24cef12e009064d5ba797e2b83b0834f384cbbee24b283f7dc385adb9b87b56e

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

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source=arxiv_source observed=2026-08-05T13:15:07.080449Z digest=sha256:d174250846ba3d8c12a93f55821c46f9d610448e0792f060da56fefec88b6b29

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=arxiv_source observed=2026-08-05T13:15:07.083624Z digest=sha256:4c3b7f846025728864d10e0e5fa908a98c193f8ed98631f03be45e86f04b7bc2

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=sha256:2d1968314293c9edbb99ebb05086eed23832ed3d015586d83083c08e5873dab9

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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source=arxiv_source observed=2026-08-05T13:15:07.090022Z digest=sha256:e26b0b28820b863d05f5569fd8c697bfffac7ca385dba4f5a4d0f775b111f711

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

source=arxiv_source observed=2026-08-05T13:15:07.093319Z digest=sha256:ecb40fddee3e4d77441729c5550655acd785fced6430992f6e7411892d88a939

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

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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=sha256:57482ea64683eee3033f4550dae55767d5d66040da73644bb8a9cebd3270361e

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.099543Z digest=sha256:c8238b4069e934199b2317c01471c61518ec6e3c3e972321a761c67a6274fa00

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

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

source=arxiv_source observed=2026-08-05T13:15:07.102537Z digest=sha256:ada53ac8a7a3cdbe3c15cebffac344bd8a72a529342ef9186205acfc40426b0e

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.105304Z digest=sha256:57f6711bd31f4d6ec27aeb22907817f059d06cc5f6d8666a12e877320c1c1043

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.108421Z digest=sha256:46a241280e3442a2b5543f9f674febeb826543ab38b3d81e7093ae38836e7854

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

source=arxiv_source observed=2026-08-05T13:15:07.111423Z digest=sha256:176407ded0e128105cb64243cf690f720a1581c14d684e888576b65e473e57ef

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

source=arxiv_source observed=2026-08-05T13:15:07.114782Z digest=sha256:abe2f807d80f7e784bf1ad628b249e0c35e29f4b8551cd9d8cc979e1f3e8b745

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

source=arxiv_source observed=2026-08-05T13:15:07.117955Z digest=sha256:aa0cfafe56d038edfff3e65d3366a98454736bbe46705b92b3ac0cfa45f3262e

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

source=arxiv_source observed=2026-08-05T13:15:07.120812Z digest=sha256:bdadce4b6730189bd8f2d0a4d3f6994598b6e62b56660b31b1f5fe0a52e1114c

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=arxiv_source observed=2026-08-05T13:15:07.124404Z digest=sha256:8f51a613f3fa1b2da8de1c6c7fe7ab244338e07b1ac54aa0c3eeb22216f96529

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

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

source=arxiv_source observed=2026-08-05T13:15:07.128415Z digest=sha256:10a80543038dbf1fcb4859136b5df6f8a390ae7d425003cdffe3a95601e40c33

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

source=arxiv_source observed=2026-08-05T13:15:07.131925Z digest=sha256:eaf6f7d5fc196c214d48a801562c0f76d5d22a93e226c78bf6dc2b98761c8464

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.134862Z digest=sha256:2799c1efa13fa46577850415145887661eff43cab25856567ed3becd78bdd599

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.137928Z digest=sha256:e1e883956f17fc900e913c461462b9179ae099a00ec60ff692a326ff59311c0f

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

source=arxiv_source observed=2026-08-05T13:15:07.141835Z digest=sha256:1e2e06bbcaad10cb69618f726eb61bb106454f223c89f28d05f97bc288676ba8

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.145642Z digest=sha256:bab4f9b979f83be642cdaa0ce101012e1f650c7b414a0b1d398b21a6e463ff81

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.148938Z digest=sha256:5d1af51f7e5b407d41349a582f203c5f15befa0ab2555aefc08f50ab3fe92280

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.152189Z digest=sha256:1b8541ff1112d084fc0900cbe7eeec6a65382f04576412beff93f94babb2a3ed

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

source=arxiv_source observed=2026-08-05T13:15:07.155366Z digest=sha256:ef03470d8562a8022d3edbaeba080d4196064ec294fbe61f7470f1721f1c9b2b

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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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=sha256:1537f6ef2fa0db7a6c5804930dc3e956a3e0e2274912d8d4ff70f03240a56757

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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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:a56758478001430f40d708362a5c77a62e555a9dab50aa4e6a49becf1637a113

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

source=arxiv_source observed=2026-08-05T13:15:07.164595Z digest=sha256:bb0125475ec07b985d01f2ab241c7b101c611bd85d3100aa37df15899e6dece8

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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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:e91bd0ea831ed09e769a4575239e0da6d57e1e52887b46c448c56c77336e4189

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:b102a4db64495fbc303f6c684f49153f25408eb7d53905e4b0150f0f0828a255

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

source=arxiv_source observed=2026-08-05T13:15:07.174361Z digest=sha256:bbbd3e979c6adb2db999108a530d42a440895e09b51e1af3d8a3a51ce47c75dd

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

source=arxiv_source observed=2026-08-05T13:15:07.177337Z digest=sha256:e31311cecd0e7f208159d02d77df95e5327142afcf464dae32086333617658fb

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

source=arxiv_source observed=2026-08-05T13:15:07.180138Z digest=sha256:883175d325af3d2da29d7f926c06060f175707dda2c70d31763fd23cdfc3b65c

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

source=arxiv_source observed=2026-08-05T13:15:07.183007Z digest=sha256:18a712d0eb5a3bf78ca2ad7a36da252d519ff7a892d86dc5c108ecd67bb9a3d8

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=sha256:7024ab445d348b00223b7797d8305f6939028d9cfdcaece6ccb1896df3c5b16e

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=sha256:55f5e4ea1062600f9a8df0d7117d50a6956941e5fc7b4c1cf9a57378cdef4755

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

source=arxiv_source observed=2026-08-05T13:15:07.192278Z digest=sha256:2269215e73b14f98f4d18edcb4df60832239ce6c57c09bfe7a37caae808b1fed

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:a0b9224c844c0fc7d247f276ea5bb70a68b94edcd19a4ade0c935086befeb183

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=sha256:610b59f41b11240cd7e1c0c94dc0cb607962480711d1b27c47df8fd7b9323a50

Pith citing papers

No inbound Pith citation observations are available.