Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sequential Integrated Gradients: a simple but effective method for explaining language models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.15853.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T19:18:47.616762Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T22:57:26.385934Z
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 81b7f4e8-3323-4fea-805c-c0f26054e55f · inbound
From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors cites this paper.
From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors Sequential Integrated Gradients: a simple but effective method for explaining language models
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:18:47.616762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6f92e19-bff1-4992-95d8-854e4b4fe84b · inbound
Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward cites this paper.
Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward Sequential Integrated Gradients: a simple but effective method for explaining language models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:20:47.875357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d886dc2f-9851-403c-b59a-fab54e7c09d2 · inbound
Explaining Black-Box Language Models: Learning to Optimize Linguistically-Structured Word Subsets cites this paper.
Explaining Black-Box Language Models: Learning to Optimize Linguistically-Structured Word Subsets Sequential Integrated Gradients: a simple but effective method for explaining language models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:57:26.387453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.