Paper Citation Record · LEDGER

A Theoretical Study of Inductive Biases in Contrastive Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.14699.

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

pith.paper-citation-record.v1
2211.14699 v2

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:06:18.732288Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:44.937026Z

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 3fb2d4fd-9a59-40b3-bd73-8f0d87b87c25 · inbound

Visual Pre-Training on Unlabeled Images using Reinforcement Learning cites this paper.

Visual Pre-Training on Unlabeled Images using Reinforcement Learning A Theoretical Study of Inductive Biases in Contrastive Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:18.732288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ceaf1c1-507a-4bc9-a00e-1a97bdcec024 · inbound

UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels cites this paper.

UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels A Theoretical Study of Inductive Biases in Contrastive Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:32:52.006326Z

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.

Observation 8b5bd89c-fa74-4c6c-8ce0-a96fd6bf83ce · inbound

A Unified Geometric Framework for Weighted Contrastive Learning cites this paper.

A Unified Geometric Framework for Weighted Contrastive Learning A Theoretical Study of Inductive Biases in Contrastive Learning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:15:06.869765Z

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.

Observation 78b0d987-412b-4b70-b1e0-f8c27d7e9646 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning A Theoretical Study of Inductive Biases in Contrastive Learning

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:44.938659Z

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.

Observation 8aece5fa-ddbd-4b8a-ba7b-05041c003fd2 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning A Theoretical Study of Inductive Biases in Contrastive Learning

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:59.660633Z

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.