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Paper Citation Record · LEDGER

Exploring Length Generalization in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2207.04901.

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

pith.paper-citation-record.v1
2207.04901 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:49:08.700853Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

45
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bf7665b4-72b0-475b-945a-bff163c79dc9 · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Exploring Length Generalization in Large Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:02:53.818893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T07:02:53.740597Z digest=sha256:849108ad0393dd09741a4053ac8247138d5ee7971cb655855ff5253924ebc3d7

Observation f2dadf32-0771-4fc3-97ad-84020fcb813a · inbound

Adversarial Reasoning at Jailbreaking Time cites this paper.

Adversarial Reasoning at Jailbreaking Time Exploring Length Generalization in Large Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-09T14:49:08.700853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:49:08.700853Z digest=sha256:34873ff461c5e9650816fe07e6950e15ec1a1172e9c84a063e8d73aacf3d9915

Observation e4fb750f-102f-4691-8869-fa8a05a9f380 · inbound

Sample Complexity and Representation Ability of Test-time Scaling Paradigms cites this paper.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Exploring Length Generalization in Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:31.656942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:35:31.656942Z digest=sha256:8b4275e36e3863f7f70ff8b9daa80d31cbe57977a009de39f2295b209c4880ee

Observation 49b2baea-6736-4589-b774-41598fc80d7d · inbound

HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models cites this paper.

HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models Exploring Length Generalization in Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T05:36:51.911298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:36:51.911298Z digest=sha256:9f3d54692def787b8f8973fb776cd9ae2def9e5a667b8fb5f78934d523fedbf3

Observation 1e59396c-3ddc-4c93-b837-baba99da2670 · inbound

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents cites this paper.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Exploring Length Generalization in Large Language Models

Reference 169

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:26.911073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:12:26.911073Z digest=sha256:b75755724a63e06906098550d7b210672641c7e75938b05464245f22a95905d8

Observation f97a70dd-e862-44f8-92de-c9bf185cae04 · inbound

On the Emergence of Syntax by Means of Local Interaction cites this paper.

On the Emergence of Syntax by Means of Local Interaction Exploring Length Generalization in Large Language Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-10T04:20:03.825199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T04:16:41.473079Z digest=sha256:e85d8980ee12211264a40034a999223e100c43d403d883f9fe3639e25d33c594

Observation a354a623-196a-479a-aff8-752d49b9a29b · inbound

A Verifiable Search Is Not a Learnable Chain-of-Thought cites this paper.

A Verifiable Search Is Not a Learnable Chain-of-Thought Exploring Length Generalization in Large Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:49:39.787865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T12:35:20.698118Z digest=sha256:7d69cd2dda8d652061390b7645b7096022238373c2ed4914fc404dd66894e343

Observation 3c1ec358-18ee-4334-8ac9-db87f8966470 · inbound

Out-of-Distribution Generalization of Risk Aversion in Language Models cites this paper.

Out-of-Distribution Generalization of Risk Aversion in Language Models Exploring Length Generalization in Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T07:15:51.883780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T07:15:51.883780Z digest=sha256:9226eb049f8144b485b2eeb6e447f167aabbcc77c599f4ed90f50aad75481d29

Observation 641bceb8-bcb5-44af-8dde-cb7ab1ed3586 · inbound

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts cites this paper.

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts Exploring Length Generalization in Large Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T08:13:27.484748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:13:27.484748Z digest=sha256:369f166dfde765f48625fac2ed2cd2381b2a02c45ac03cb1951b31925a24a74d