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Paper Citation Record · LEDGER

SSD: A Unified Framework for Self-Supervised Outlier Detection

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:55:05.149982Z

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T05:16:36.255597Z digest=sha256:c9dcb41efe65c87cc66173276c3370622bb9b6cdb3c7f9c4a7bc3b5dd656912a

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.

source=pdf_text observed=2026-08-04T22:55:05.149982Z digest=sha256:36baf45b151f02f193850cecb6cb3baa890300db6615e4c7ddb5f8f7d5b437b6

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T11:25:01.780099Z digest=sha256:be6ca6b65059deb441a9719181d7d7903d3733cc8d3d74c6a11805514f7c7576

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:02:29.894346Z digest=sha256:a542c4bfba74395a2ed433f431ee524fb9d12f87033c6be747bb79722e128d53

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T13:32:48.483833Z digest=sha256:746126e28ef846fc9875166be42bcc9505b0c7a6bf491dd5e16eb59ea191b85a