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Paper Citation Record · LEDGER

DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.12488.

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

pith.paper-citation-record.v1
2403.12488 v3

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T05:55:09.188048Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T05:57:08.119425Z

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 b5e57172-4c45-4398-9a9c-3339072f57b7 · inbound

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks cites this paper.

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:57:08.122652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T05:55:09.188048Z digest=sha256:622995651ce04002273a64e1f4177d72f2ea10e209f61789e7685a72cd1722e6

Observation bb2f3425-fabc-4f2c-b224-892100e1ea2f · inbound

AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation cites this paper.

AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:43:49.382251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T05:10:44.608959Z digest=sha256:3abe7c6b83e70259baebf8525b2aead125ba39a538ce5321d5d25cb548c20027