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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.058319Z digest=sha256:d8fb65e548dff8ea216ac57477f0466d397667581019869e67f0bcfe336cac39

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=sha256:0b3591878cd1eddbd40b07da90041e1693c49ff53bb8de72324dee13d435a4a0

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:e4f49c993e0e11ca89fd9cb08cd07539bdbf9ee3c173e4f57bb3d89eef142619

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.070082Z digest=sha256:fc8e66ae626599da5320c3f5541ba660b74fb0686b8e1e840c26b3f66891462e

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:eb54465865a789a3e051fee80099144e7932c355074da27728b52a43c631a133

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.077043Z digest=sha256:cff15ede3302d9209a4dabf653789955214668481062deed5faa8c389dc4d000

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:ab27d7aeca8ad133d9277a481bcb3535980669cb1f3a0c2b0ca842221d8f032c

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=sha256:9af1bd1380588531308e72a2069dbee3a3f0cd359fabfe9d312614ca77389f5c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.086780Z digest=sha256:40594ff5e397b37d5a1f31c8b5018e8babe7311804eec8e806b52dff09f5080f

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.090022Z digest=sha256:d55b15175aac313524a52a6c7f74c30778faf5d4034dc22f2100d43fe3059ccc

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.093319Z digest=sha256:d8dede3cbc73a8112f313488d943aeefa744909ffa4b04659e4ab1bbe9a4c0d8

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:b4e8143873cc927c0f0c98d0daca6c0ce1e081c15e985918f5d24231d4ec835e

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=sha256:9c84663501045862876c7f888dd7b7e1402e0d4b6679cb6fb266bcc1d00dc85b

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.102537Z digest=sha256:384d12143db73087c68843dbd5e998d750e15391b259ce87ef684baccf882ad1

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.105304Z digest=sha256:0403b2edc53929a5d5f67848075b903fba88e44f50d764444c777ff5e667227f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.108421Z digest=sha256:c1c420ce3ceca063bdf02bb6abd59c72f7fe95c622fd017ddcc344369f38f65f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.111423Z digest=sha256:a660fa79668e0d06e3964dd26cbdc86be6bc3368a1003d29823d0feaf984703e

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.114782Z digest=sha256:88435e5b68ea8e1642bc853661b823d5f1707164357a2ad6cce6aa77db2581ed

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.117955Z digest=sha256:b92f2305bc9b9558b823e8843ba98fa0af48dfec5ef500d9184cc618e832a1f8

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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raw_fallback, observed 2026-08-05T13:15:09.343874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.120812Z digest=sha256:a32605c359ce3cedecee1939b17c123af20ad68957929459293813d6952cf08d

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:15:07.124404Z digest=sha256:6263bac75e05c71e9eb37a3051c9e257db2d8aa8f1f6f5705c4002bc390edb78

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.128415Z digest=sha256:b65f15755b2d85ad1e92b84afa06e5bb3d73c0fb251607f8c32652876deea43d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.131925Z digest=sha256:cde2242a3f1772b4ef47953cdeaef0be1a3f1d2ada1a77a9bdfa7b9484efba94

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:ddb77218885551dbd7d3ac016e425e3b4d46ca2e2143ccde8e28b9d2c6b06fbb

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:ebbcf4334b004da66385e8a22cb6ecb3cff54aa088833cc3cc8c50259a360e83

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.141835Z digest=sha256:4d204e2981f175ce1f994d5d5cccaaa7c872e81bae7fb7b13ad6a4d715371199

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=sha256:96a31da89558072946794f6ed5d3c6e78765ff2a929c2cf418a8b0c256dd735a

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=sha256:51fd522e85f0e61b31f553102bca2e49290f0f0b0ee34338fdacd69f2ae4567e

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:c8ca1d7973bd6dd0232ac6e8ccd89ed8a3be33047d354b6238e68302cd4493b4

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.155366Z digest=sha256:bd6f52f255f5223fb87b62d1357a03b12986559c57b7f4e5197a276d97456753

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=sha256:1f4bad38d6c7a1b2b15f27055e1469b2279b8ea21c895352e65164d157d60bfa

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=sha256:724a742471e00f9bd191d9ab855493f22ee535e0a2858a29cc4304627490728c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.164595Z digest=sha256:3c1a756c22fee4d56ff2cab6992499d23fe7cf4bb2c87cbe3c92b07c843cbebe

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=sha256:7d2dd42eaedc6d2db4a4b9ef5f06a57fce7ef7a1041f96f26d2abcbd8a049c55

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=sha256:87888f19cb60d0038499d51de80b4a2df6473de7bc8aaefbb5fd1ae99982293c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.174361Z digest=sha256:cc3ad9342572a2738ea488394d03f982548e68ec2cd8ffadc8271f4e8ec70dfe

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.177337Z digest=sha256:51dc7c91b58921d4e3ae1d0e55218c8fa7a6d6ec89fc77c32b73c388daccc010

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.180138Z digest=sha256:9af4372ba689da4ffa8829005be837baa9258b5ebb5c1d8cca97efbcba4efd24

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.183007Z digest=sha256:ec38f70ac8bdef57179cdda51ddd50d624f741b6db3bc9b416e40402813681b5

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=sha256:4ca49d64c43ac9406db6fb71bc42472765bd8f1644f0cd68e2d373f2fa387d7e

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=sha256:019c0d75f59125b8a9ca387740c83f2cd3b592a6a934772c0c05beb64b8622ca

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T13:15:07.192278Z digest=sha256:d770e446451b389f35477736453d0d1911861855d7358a92508ea659dce9736f

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=sha256:3cd5ed7ea334251ba642ea42bbbc9231aca5a9734df543827a5be439875e5906

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:da8dd1b43e4e753644ca389d3d198f1abfe415dc82be39b11e8fb953dfa4203b

Pith citing papers

No inbound Pith citation observations are available.