Paper Citation Record · LEDGER

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention

As of 6 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 2 inbound Pith citation observations for arXiv:2604.10044.

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

pith.paper-citation-record.v1
2604.10044 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:24:20.746204Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:19:06.544799Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T21:36:14.561062Z

Reference resolution

11 of 11 outbound references displayed

verified exact2
verified fuzzy2
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57f7765a-13bb-454e-9e28-2293c285a2c8 · outbound

This paper cites Context length alone hurts llm performance despite perfect retrieval.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention Context length alone hurts llm performance despite perfect retrieval

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:56:02.249236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1b946066-63fa-4300-990e-569a286d83a3 · outbound

This paper cites an unresolved cited work.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-17T15:34:53.305698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7b5d0cc3-48ee-4a72-82d7-ea4408e130d6 · outbound

This paper cites an unresolved cited work.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-17T15:34:53.311637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d5be207e-45dc-47a3-b5fa-9a871d67e307 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention The Curious Case of Neural Text Degeneration

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:18:24.042352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a7a35a77-686a-45aa-90bc-c4304b366eca · outbound

This paper cites Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, and Deming Chen.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, and Deming Chen

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:02.270465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5d76a07a-d384-4bf8-98f1-c2f71bdf5707 · outbound

This paper cites In-context Learning and Induction Heads.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention In-context Learning and Induction Heads

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T08:56:02.277251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c97417a2-49a6-4b69-b748-599e8a7fd797 · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:01:23.440331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ac299502-92e0-471d-8056-13f2815891d8 · outbound

This paper cites Siu, Byron C.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention Siu, Byron C

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:56:02.282160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 64799347-52d6-44d7-a917-39afd5327512 · outbound

This paper cites InForty-first International Conference on Ma- chine Learning, ICML 2024, Vienna, Austria, July 21-27.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention InForty-first International Conference on Ma- chine Learning, ICML 2024, Vienna, Austria, July 21-27

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:34:53.300646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de7f1261-ea00-4dff-8d61-1331e55d6eba · outbound

This paper cites InProceedings of the 16th Conference of the Euro- pean Chapter of the Association for Computational Linguistics: Main Volume, pages 326–346.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention InProceedings of the 16th Conference of the Euro- pean Chapter of the Association for Computational Linguistics: Main Volume, pages 326–346

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:34:53.284366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 84f0795f-00d6-4154-ba64-68d16d034803 · outbound

This paper cites Qwen3 Technical Report.

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention Qwen3 Technical Report

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T08:56:02.259713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 6b0efb8e-a6f1-452b-9688-c6ba5ae93769 · inbound

Leyline: KV Cache Directives for Agentic Inference cites this paper.

Leyline: KV Cache Directives for Agentic Inference LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T21:36:14.562439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18b29c36-456e-4552-a40b-cab7fc557564 · inbound

The Gate, Not the Cache: Gate Provenance Bounds the Closed-Loop Reliability of Training-Free VLA Token Skipping cites this paper.

The Gate, Not the Cache: Gate Provenance Bounds the Closed-Loop Reliability of Training-Free VLA Token Skipping LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T04:19:06.544799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.