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Paper Citation Record · LEDGER

ContPhy: Continuum Physical Concept Learning and Reasoning from Videos

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.06119.

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

pith.paper-citation-record.v1
2402.06119 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:05:45.917384Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:27:22.634310Z

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 77b984bd-b7b0-4bde-b95f-90da60f821ce · inbound

Vision Language Models Cannot Reason About Physical Transformation cites this paper.

Vision Language Models Cannot Reason About Physical Transformation ContPhy: Continuum Physical Concept Learning and Reasoning from Videos

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-15T13:27:51.848177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:27:51.848177Z digest=sha256:c8c022d63965eac8866b611943bf4099806fc0fd9e0678a23e08c1f2fa7132e2

Observation cfd119d2-a181-4b76-9b1f-4a9207b504ef · inbound

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning cites this paper.

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning ContPhy: Continuum Physical Concept Learning and Reasoning from Videos

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:52:59.946999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T16:51:48.705876Z digest=sha256:79c608f54c8dac424092255dd6770eb18f15da997d1d3cd8fa527daf0e4a653e

Observation 2eac9be8-8c91-42f1-acd8-c1c30d979bc8 · inbound

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning cites this paper.

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning ContPhy: Continuum Physical Concept Learning and Reasoning from Videos

Reference 58

Resolution
unresolved
no resolver link, observed 2026-07-13T12:10:53.720348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T12:10:53.720348Z digest=sha256:56387290d7dbf809a3b3371eb05795e4defbff1abf594ccbba8bbc74111beeb5

Observation 8b69a24a-8e10-4c6e-abd5-7d4fd5927f73 · inbound

What-If World: A Causal Benchmark for General World Models in Embodied Scenarios cites this paper.

What-If World: A Causal Benchmark for General World Models in Embodied Scenarios ContPhy: Continuum Physical Concept Learning and Reasoning from Videos

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:23:50.378133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T18:23:22.987086Z digest=sha256:40c6961a3227d62556de7beb1fbc6e9b308d9f378b2a428272caf5f762062519

Observation 178f3444-3905-4505-bef9-d75a1c981d15 · inbound

ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? cites this paper.

ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? ContPhy: Continuum Physical Concept Learning and Reasoning from Videos

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:27:22.635819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T20:23:18.667677Z digest=sha256:f97c3958d662dcfa85ee016bd5b4d25c0d26b453cdf03ad62713658ce19ee3b2

Observation 59468358-58cd-4f9c-bdbc-1f3417ba4d89 · inbound

SiPhy: Single-Image Physical Property Reasoning cites this paper.

SiPhy: Single-Image Physical Property Reasoning ContPhy: Continuum Physical Concept Learning and Reasoning from Videos

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T05:05:45.917384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:05:45.917384Z digest=sha256:8ab63d15cb98361452d53c6ea520fe7ec10a3ce8bdd935c131bcc24fd5778d29