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Paper Citation Record · LEDGER

Learning to Attribute with Attention

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.13752.

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

pith.paper-citation-record.v1
2504.13752 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:48.271464Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T17:40:26.217133Z

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 92323745-e460-41c4-859c-9603845f493c · inbound

MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering cites this paper.

MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering Learning to Attribute with Attention

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:48.271464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:48.271464Z digest=sha256:1dd415b7214d011575b007ba22c61e541b6b3e5b421cf79b402e0f3d61fc163d

Observation b2850d75-7d79-4de2-ac52-9d22ececb266 · inbound

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution cites this paper.

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution Learning to Attribute with Attention

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:40:26.219731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T17:40:10.135567Z digest=sha256:8ab5f940eb4554486bbc487a2a1eb7cf5753ee63cbb028b3009ffd3270518dba

Observation 18464d27-911a-40af-94db-2524acc5f663 · inbound

AgentWatcher: A Rule-based Prompt Injection Monitor cites this paper.

AgentWatcher: A Rule-based Prompt Injection Monitor Learning to Attribute with Attention

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T17:00:40.810584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:00:40.810584Z digest=sha256:c23ef5c135b0e15a660ea71c94a7c80b7c458e2de5fabd6195564aa6403f78f0

Observation d5710bc5-a7e7-4449-b5bc-8908a23aeeda · inbound

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption cites this paper.

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption Learning to Attribute with Attention

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:16:28.285981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T06:49:56.316472Z digest=sha256:564effd1249d1f8858436b1e8263d9cb43f8bd27c287dd59ef22360b38c3618b

Observation 65565980-3c20-42f4-bdc4-fba7dbadd7ad · inbound

Tokengeist: Multi-Turn Attribution Tracing in Agentic Conversations cites this paper.

Tokengeist: Multi-Turn Attribution Tracing in Agentic Conversations Learning to Attribute with Attention

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T11:18:08.952772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:18:08.952772Z digest=sha256:d55baf9c17d172838ec285c1490d50d11b04573b0b670e8e1e08b3fcdf2ec676

Observation f984e3b3-5e8d-48af-a025-be19d9daf48f · inbound

How Context Attribution Handles What the Model Already Knows cites this paper.

How Context Attribution Handles What the Model Already Knows Learning to Attribute with Attention

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-30T12:03:15.526838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T12:03:15.526838Z digest=sha256:aae9d03170a728d7b7df0c1abf85bf537c993b40bcabcd2e5e23eaaaaff6a3f5