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Paper Citation Record · LEDGER

InfoNCE: Identifying the Gap Between Theory and Practice

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.00143.

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

pith.paper-citation-record.v1
2407.00143 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:15:32.626017Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T16:55:50.698126Z

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 b03cdd91-f30d-449d-8327-ff1099dd5b83 · inbound

A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Fast Fashion cites this paper.

A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Fast Fashion InfoNCE: Identifying the Gap Between Theory and Practice

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:28:42.494459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-24T01:26:33.494364Z digest=sha256:6d3aea7d4906f6dbd38bb48653e2b88410087787c43444847079af9bc1cb564e

Observation 9b5711b4-c88d-4d29-b666-a5353f19cd0e · inbound

Pre-trained Audio Transformer as a Foundational AI Tool for Gravitational Waves cites this paper.

Pre-trained Audio Transformer as a Foundational AI Tool for Gravitational Waves InfoNCE: Identifying the Gap Between Theory and Practice

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T23:15:32.626017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:15:32.626017Z digest=sha256:b419eb6d49caff18337002cbfa2fe5c20f493ed4f9d3fa4f8fe06b1e09b0222f

Observation 838a3987-1100-43fd-b627-81058d87adc1 · inbound

Zero Shot Composed Image Retrieval cites this paper.

Zero Shot Composed Image Retrieval InfoNCE: Identifying the Gap Between Theory and Practice

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:57:33.015706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:57:33.015706Z digest=sha256:ba90275867bb22ce963a10da1893a79f5717fd98850cb23cc2a387dea001abe8

Observation 3700c629-12f8-4c88-a252-45a5e2d64fdc · inbound

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning cites this paper.

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning InfoNCE: Identifying the Gap Between Theory and Practice

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T15:56:58.625898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:58.625898Z digest=sha256:c3dba552750d1d25cf9105030f91bab74cc1add8d4b943a8f05ff64da625195b

Observation 6053dd48-0516-42a0-8a7c-891bb3f07984 · inbound

Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs cites this paper.

Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs InfoNCE: Identifying the Gap Between Theory and Practice

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T23:37:45.539182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:37:45.539182Z digest=sha256:2ce2acb3ae8d788455d029041df8fd375a42eb4a8f7020dfccf40c812fa1e20f

Observation 5f8431ac-0514-40fd-8b91-6f1deea83eb0 · inbound

Estimating the Empowerment of Language Model Agents cites this paper.

Estimating the Empowerment of Language Model Agents InfoNCE: Identifying the Gap Between Theory and Practice

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T14:53:18.160662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:53:18.160662Z digest=sha256:484399a3b08752e5ffb5574c93fb1db31ee1a3a050ccc77d627daf549c526909

Observation 5144a499-ff9b-4026-8c6c-206fb0eb236b · inbound

Dual-Pathway Geometry-Aware MLLM for Spatial Intelligence cites this paper.

Dual-Pathway Geometry-Aware MLLM for Spatial Intelligence InfoNCE: Identifying the Gap Between Theory and Practice

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T23:04:00.955423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T23:02:22.924559Z digest=sha256:006343950ae10e439d3e37ef2174ebdbf9d2e5b4d48d53ff46c4163a10354228

Observation f59f760b-6033-4e4e-8327-eebdd0b363d9 · inbound

When Does LeJEPA Learn a World Model? cites this paper.

When Does LeJEPA Learn a World Model? InfoNCE: Identifying the Gap Between Theory and Practice

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:55:50.699652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T20:07:59.649190Z digest=sha256:0fdfba86a9ad826985172fef05d5862ebd1831e99a469745e8df39d7445f7074

Observation 818454cc-7f4c-4d27-81b9-0f19e5354ebb · inbound

X-Tokenizer: A Multimodal Action Tokenizer for Vision-Language-Action Pretraining cites this paper.

X-Tokenizer: A Multimodal Action Tokenizer for Vision-Language-Action Pretraining InfoNCE: Identifying the Gap Between Theory and Practice

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:24:37.869021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T11:23:36.941801Z digest=sha256:23ac404949c37b12187d26170b649a36b766d648030cb461f492668c94b8498b