Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.10835.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:41.444497Z
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.