Paper Citation Record · LEDGER

Learning to Attribute with Attention

As of 16 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 7 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 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:05:34.792746Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:40:37.624351Z

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

5 of 5 outbound references displayed

verified exact0
verified fuzzy5
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3258941-c86c-4f19-87cc-f6f209850dfd · outbound

This paper cites The logit transform (denoted by σ−1) is the inverse of the sigmoid function and maps probabilities in (0, 1) to real values in (−∞, ∞).

Learning to Attribute with Attention The logit transform (denoted by σ−1) is the inverse of the sigmoid function and maps probabilities in (0, 1) to real values in (−∞, ∞)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:34.885194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3789fbc1-2c8d-4d11-bbf9-0127da93668b · outbound

This paper cites LASSO minimizes the MSE loss with a regularization term to encourage sparsity.

Learning to Attribute with Attention LASSO minimizes the MSE loss with a regularization term to encourage sparsity

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:34.872110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e621954-ebc2-4765-a95e-9c223acabd6a · outbound

This paper cites Final answer: <answer>.

Learning to Attribute with Attention Final answer: <answer>

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:34.857185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c9e71baa-dfa4-44cb-840b-8d363bf268f4 · outbound

This paper cites The Four.

Learning to Attribute with Attention The Four

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:34.828602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bdc0a59b-a902-4187-963f-be64604848f2 · outbound

This paper cites Manga Life.

Learning to Attribute with Attention Manga Life

Reference 1975

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:34.843815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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.

Observation d19af99b-580d-4b2b-9f10-a19e4aa77687 · inbound

RCStat: A Statistical Framework for using Relative Contextualization in Transformers cites this paper.

RCStat: A Statistical Framework for using Relative Contextualization in Transformers Learning to Attribute with Attention

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:40:37.624351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-16T06:30:59.297886+00:00.

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.

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 2026-08-16T06:30:59.297886+00:00.

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.

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.