Pith. sign in

Paper Citation Record · LEDGER

SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.13220.

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

pith.paper-citation-record.v1
2505.13220 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:00:32.650100Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:23:58.557619Z

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 236b59b8-3ae9-4f02-940c-250ec8b3a712 · inbound

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation cites this paper.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:32.650100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:32.650100Z digest=sha256:9fe0d87714be027901b1aed346ac3327ed1e1baf09b7d52b4e31849c045eb243

Observation 60103591-8c2b-4d6b-ae81-df123e72c32d · inbound

Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models cites this paper.

Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:23:58.559256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T05:20:55.448430Z digest=sha256:49cdda9f4a223980609dfca361230c9129de1b14fb0a68f2ecaa48a3e520a749