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Paper Citation Record · LEDGER

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2107.08221.

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

pith.paper-citation-record.v1
2107.08221 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:14:54.197589Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:29.803878Z

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 6dbda0b6-e6f4-4a8c-8974-a259ee03f316 · inbound

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence cites this paper.

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T18:14:54.197589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:14:54.197589Z digest=sha256:f16005fbe3c2fc019f0a56ce2a6fe26050c08479c04d3a69c0dde490e0316def

Observation ed05eab9-0351-4c02-87a7-91a4d647bb95 · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:21:35.593286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-07T17:15:43.429602Z digest=sha256:d1ff18dea10694fa12b2cab446444ddeec258582d20912896e81ff0e8f383412

Observation 10456576-8a7f-4c93-8a8a-cfd1a5f462f9 · inbound

How can embedding models bind concepts? cites this paper.

How can embedding models bind concepts? Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:15:59.986172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T23:05:16.132396Z digest=sha256:c071ee90b4573131e0033095c34db1610a295d2a707292b9cc14bb2b49137169

Observation 7c101d0d-7e73-4d5c-a1fa-41d9dc7e0eed · inbound

A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.

A Systematic Study of Behavioral Cloning for Scientific Data Annotation Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Reference 299

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:23:39.067970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-29T16:23:08.402194Z digest=sha256:16e5cf96c4fe48f4e6be13c7b3c9217dd991aa0d2d4ea304ff1645c52264ea91

Observation ccf65675-9925-453a-baa3-4167167542a0 · inbound

Compositionality Emerges in a Narrow Depth-Connectivity Regime: Architecture Constraints and Solution Manifolds cites this paper.

Compositionality Emerges in a Narrow Depth-Connectivity Regime: Architecture Constraints and Solution Manifolds Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:09:29.806912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T18:22:56.676469Z digest=sha256:3ab704809f36ecc68ddc029adabb75482e0b31589415c686e51d480eb6818675