Paper Citation Record · LEDGER

Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2502.10835.

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

pith.paper-citation-record.v1
2502.10835 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:41:57.837990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:19:38.870145Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a8b623a9-cd1b-4060-bd42-12ad7e71df9d · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Reference 222

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T01:29:57.305740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f918cea-6a9c-42de-bfe7-3316fd7c7214 · inbound

$K$-MSHC: Unmasking Minimally Sufficient Head Circuits in Large Language Models with Experiments on Syntactic Classification Tasks cites this paper.

$K$-MSHC: Unmasking Minimally Sufficient Head Circuits in Large Language Models with Experiments on Syntactic Classification Tasks Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:57.837990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34373ead-3978-4a9a-a669-ff175d7c1a59 · inbound

AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models cites this paper.

AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:41.444497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0019181f-47cf-4331-a6be-f7de3372e299 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:33.356874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34cfe3b5-2e4a-4d4e-b3c3-485a2df0496d · inbound

How Do Language Models Compose Functions? cites this paper.

How Do Language Models Compose Functions? Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:06:17.548535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad5ceccb-a5de-470a-b43b-b53727aebf29 · inbound

Does Faithfulness-Guided Alignment Hurt Accuracy? Unlocking Accurate and Faithful Post-Retrieval Reasoning cites this paper.

Does Faithfulness-Guided Alignment Hurt Accuracy? Unlocking Accurate and Faithful Post-Retrieval Reasoning Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T05:45:40.958828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1465ca90-8f81-4b50-a00c-5cd018c7d373 · inbound

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models cites this paper.

When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:06:06.584891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 62716425-b7fa-42b0-9c77-d2ed1fd6e5b5 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Reference 224

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.120660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 608bc3d2-7677-43ae-88f4-276183e376d1 · inbound

Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process cites this paper.

Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:38.871787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b99b62d8-c2a0-4ceb-89c2-feeaa02169d5 · inbound

Why Knowing Both Hops Is Not Enough: Understanding Two-Hop Generalization in Language Models cites this paper.

Why Knowing Both Hops Is Not Enough: Understanding Two-Hop Generalization in Language Models Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T11:38:34.597470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.