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Paper Citation Record · LEDGER

Training Region-based Object Detectors with Online Hard Example Mining

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1604.03540.

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

pith.paper-citation-record.v1
1604.03540 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 2026-08-07T05:59:15.550308Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T02:25:55.846849Z

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 0e512beb-da31-457e-9498-9902e0f22675 · inbound

MarginSel : Max-Margin Demonstration Selection for LLMs cites this paper.

MarginSel : Max-Margin Demonstration Selection for LLMs Training Region-based Object Detectors with Online Hard Example Mining

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:15.550308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:15.550308Z digest=sha256:7ef3546e926a9e4efeac85fda5eedc1d5e148f41962498dff0d40a021f63dfb4

Observation a55cffbf-3e07-48f3-be56-bef4b0ec943e · inbound

Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF cites this paper.

Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF Training Region-based Object Detectors with Online Hard Example Mining

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-09T02:25:55.848620Z

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=pdf_text observed=2026-07-09T02:17:20.589485Z digest=sha256:503e85dc57c4d904a0b84aa0a955e61d4467dfee9ebd436c6c57ccfa432b79a5