Paper Citation Record · LEDGER

SSD: A Unified Framework for Self-Supervised Outlier Detection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2103.12051.

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

pith.paper-citation-record.v1
2103.12051 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:39:09.346614Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T05:17:35.552460Z

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 c5c99ba0-9781-43a5-a437-0464fb807007 · inbound

Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving cites this paper.

Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving SSD: A Unified Framework for Self-Supervised Outlier Detection

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:17:35.558985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed16019e-0dba-4954-a73b-a771e38727c8 · inbound

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors cites this paper.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors SSD: A Unified Framework for Self-Supervised Outlier Detection

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:09.346614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b1c35b7-8439-4cf3-aa60-257b9861107f · inbound

Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention cites this paper.

Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention SSD: A Unified Framework for Self-Supervised Outlier Detection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:28.909059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad83f6d7-f770-4908-8dca-88ae038be469 · inbound

Feature Bank Enhancement for Distance-based Out-of-Distribution Detection cites this paper.

Feature Bank Enhancement for Distance-based Out-of-Distribution Detection SSD: A Unified Framework for Self-Supervised Outlier Detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:03.034971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78474e45-fd3c-494d-b3c9-f4147ea9943f · inbound

Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition cites this paper.

Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition SSD: A Unified Framework for Self-Supervised Outlier Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:05.149982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9527a5e0-2251-4221-8294-0edf4d4ae1db · inbound

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning cites this paper.

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning SSD: A Unified Framework for Self-Supervised Outlier Detection

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:36:15.173989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1afa5d9f-598b-49eb-8b35-caf2400c535c · inbound

TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection cites this paper.

TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection SSD: A Unified Framework for Self-Supervised Outlier Detection

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:43.592640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02a01e96-0066-4041-8804-8be4954e14fd · inbound

UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts cites this paper.

UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts SSD: A Unified Framework for Self-Supervised Outlier Detection

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:33:18.952136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.