Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.15545.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T19:16:12.807292Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:32:32.897241Z
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 20623bd4-0580-4d1a-934f-5d7a4bc645b0 · inbound
Large language models for automated scholarly paper review: A survey cites this paper.
Large language models for automated scholarly paper review: A survey SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:16:12.807292Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9de263b1-2e74-46f2-9b23-f5dce2ebfe53 · inbound
LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient cites this paper.
LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:09:01.642749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 729eb361-cb9f-49de-bae8-d3c692acdf64 · inbound
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Reference 100
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:32.900477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.