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Paper Citation Record · LEDGER

Learned Image Compression for Machine Perception

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.02249.

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

pith.paper-citation-record.v1
2111.02249 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:48:23.008266Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:36:25.734607Z

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 835545d9-5d09-4e60-afd2-c3c9089493a4 · inbound

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression cites this paper.

ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression Learned Image Compression for Machine Perception

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T19:48:23.008266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:23.008266Z digest=sha256:1a96aaf914e39985210fd00b7244d1ce4de7595dcd386fc1f3db30cda7479fe7

Observation 531bd839-e7a6-4a6f-a746-50d7c119515d · inbound

What and Where to Adapt: Structure-Semantics Co-Tuning for Machine Vision Compression via Synergistic Adapters cites this paper.

What and Where to Adapt: Structure-Semantics Co-Tuning for Machine Vision Compression via Synergistic Adapters Learned Image Compression for Machine Perception

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:31:02.462594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:00:01.530112Z digest=sha256:fb9e4c80fdbe9f0e04ecf4f1ab3e0049198de32b415213bd971053afbed193ee

Observation decae086-ce29-4b0e-850d-7908870a191f · inbound

A Geometric Lens on Physics-Aligned Data Compression cites this paper.

A Geometric Lens on Physics-Aligned Data Compression Learned Image Compression for Machine Perception

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T01:36:25.736418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T11:41:54.781471Z digest=sha256:035c299259d28bf081196cb8342389d7a605bcf01743209d3a030c13dd7a0adc