Paper Citation Record · LEDGER

Segmentation Assisted Incremental Test Time Adaptation in an Open World

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2508.20029.

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

pith.paper-citation-record.v1
2508.20029 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:17:57.982401Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact1
verified fuzzy27
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79a63359-d61d-40bd-be0c-59300130c982 · outbound

This paper cites A simple signal for domain shift.

Segmentation Assisted Incremental Test Time Adaptation in an Open World A simple signal for domain shift

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.646287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4373a419-418e-43f7-98f5-182c00e999c8 · outbound

This paper cites Santa: Source anchoring network and target alignment for continual test time adaptation.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Santa: Source anchoring network and target alignment for continual test time adaptation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.625793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2bca66ee-8ed4-4712-adbd-6b5465a9d5c6 · outbound

This paper cites To- wards unknown-aware learning with virtual outlier synthe- sis.

Segmentation Assisted Incremental Test Time Adaptation in an Open World To- wards unknown-aware learning with virtual outlier synthe- sis

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.607424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f7b1b46-ef27-4ee1-a37a-47dd2b272dae · outbound

This paper cites Active Test-Time Adaptation: Theoretical Analyses and An Algorithm.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Active Test-Time Adaptation: Theoretical Analyses and An Algorithm

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:17:58.101808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 126e45c9-7abd-4e7f-aeef-ccf70d9a12e1 · outbound

This paper cites Learning with mixture of pro- totypes for out-of-distribution detection.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Learning with mixture of pro- totypes for out-of-distribution detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.587430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85bcc3f9-a8dd-49df-a9e1-3efdcc1f58ff · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Segmentation Assisted Incremental Test Time Adaptation in an Open World A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:57.822072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a03b06-b9fe-4805-a8d4-433e6f28c33c · outbound

This paper cites The many faces of robust- ness: A critical analysis of out1-of-distribution generaliza- tion.

Segmentation Assisted Incremental Test Time Adaptation in an Open World The many faces of robust- ness: A critical analysis of out1-of-distribution generaliza- tion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.567515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fddd71d3-8c63-4655-b3a5-7e944c769d2d · outbound

This paper cites Natural adversarial examples.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Natural adversarial examples

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.543753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9919a558-5f4f-498a-b39e-87cab4a8a5f6 · outbound

This paper cites Learning a unified classifier incrementally via rebalancing.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Learning a unified classifier incrementally via rebalancing

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:57.837879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e545b475-3c4d-4f4f-b9ae-e2c819784cf6 · outbound

This paper cites Mos: Towards scaling out-of- distribution detection for large semantic space.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Mos: Towards scaling out-of- distribution detection for large semantic space

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.508723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b977f831-43f9-4387-b518-bc6b07ff7589 · outbound

This paper cites Efficient test-time adaptation of vision-language models.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Efficient test-time adaptation of vision-language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.488968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a58ddc87-4d8f-4973-918a-00c7254bdc10 · outbound

This paper cites Genetic k-means algo- rithm.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Genetic k-means algo- rithm

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.471220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 746a74bf-ca60-4c2a-a09e-003cac2bf8c1 · outbound

This paper cites Towards open-set test-time adaptation utilizing the wisdom of crowds in entropy minimization.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Towards open-set test-time adaptation utilizing the wisdom of crowds in entropy minimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.454440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f338487e-ecbe-4f17-904f-a537dcded5ce · outbound

This paper cites On the robust- ness of open-world test-time training: Self-training with dy- namic prototype expansion.

Segmentation Assisted Incremental Test Time Adaptation in an Open World On the robust- ness of open-world test-time training: Self-training with dy- namic prototype expansion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.434595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81d898a0-823d-4c6b-965e-01872520acf6 · outbound

This paper cites Learning without forgetting.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Learning without forgetting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:57.873936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 438789ad-395a-4207-848f-903de3285832 · outbound

This paper cites Univer- sal test-time adaptation through weight ensembling, diver- sity weighting, and prior correction.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Univer- sal test-time adaptation through weight ensembling, diver- sity weighting, and prior correction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.399797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f55723b9-9062-4b84-b103-b55a03590fdc · outbound

This paper cites Moment matching for multi-source domain adaptation.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Moment matching for multi-source domain adaptation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.382102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 583be743-4c01-49b3-9b38-5458a4a2718f · outbound

This paper cites Active domain adaptation via clustering uncertainty-weighted embeddings.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Active domain adaptation via clustering uncertainty-weighted embeddings

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.363274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54429fba-9186-49dd-a22e-a778ead1c161 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Learn- ing transferable visual models from natural language super- vision

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.344183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e39bff7-acd2-40a7-9140-5a89860f4059 · outbound

This paper cites icarl: Incremental classifier and representation learning.

Segmentation Assisted Incremental Test Time Adaptation in an Open World icarl: Incremental classifier and representation learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.329053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b80de6b8-4c90-426b-80d1-8022b08451db · outbound

This paper cites Improving robustness against common corruptions by covariate shift adaptation.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Improving robustness against common corruptions by covariate shift adaptation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.309472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc71d724-0bda-4840-9633-130ab738570d · outbound

This paper cites Test- time prompt tuning for zero-shot generalization in vision- language models.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Test- time prompt tuning for zero-shot generalization in vision- language models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.293188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 684145a1-17ae-441b-a995-1fa01ef7622e · outbound

This paper cites Efficient open set single image test time adaptation of vision language models.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Efficient open set single image test time adaptation of vision language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.276126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d11f5c51-3af1-4212-9c0b-ab44c90c8943 · outbound

This paper cites pstarc: Pseudo source guided target clustering for fully test- time adaptation.

Segmentation Assisted Incremental Test Time Adaptation in an Open World pstarc: Pseudo source guided target clustering for fully test- time adaptation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.259811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04ac8116-400f-4705-a2b6-560115a9f5d7 · outbound

This paper cites Non-Parametric Outlier Synthesis.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Non-Parametric Outlier Synthesis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:57.931824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6964034-b0ae-4ee9-9c63-fb732c068f9f · outbound

This paper cites A new active labeling method for deep learning.

Segmentation Assisted Incremental Test Time Adaptation in an Open World A new active labeling method for deep learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.240025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08c60b82-bffa-4ea9-8be8-c2c2c6404604 · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Tent: Fully test-time adaptation by entropy minimization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.221856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ca8770f-6e6d-4a45-852b-09fd2ea13011 · outbound

This paper cites Clipn for zero-shot ood detection: Teaching clip to say no.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Clipn for zero-shot ood detection: Teaching clip to say no

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.203525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d7800f4-d73b-4fd8-b02f-0a9c5074d3c6 · outbound

This paper cites Con- tinual test-time domain adaptation.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Con- tinual test-time domain adaptation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.181658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 805dfef4-793e-402f-9d04-f203790f039c · outbound

This paper cites Clip-dinoiser: Teaching clip a few dino tricks for open- vocabulary semantic segmentation.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Clip-dinoiser: Teaching clip a few dino tricks for open- vocabulary semantic segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.161572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85f52643-9438-4c34-be2f-6350b2af81c8 · outbound

This paper cites Active learning for domain adaptation: An energy-based approach.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Active learning for domain adaptation: An energy-based approach

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.141000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64851631-376d-42d3-b8eb-d8c40ea6f110 · outbound

This paper cites Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:57.976739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b888bc3e-fdfd-4ac4-a450-133d49709be6 · outbound

This paper cites Extract free dense labels from clip.

Segmentation Assisted Incremental Test Time Adaptation in an Open World Extract free dense labels from clip

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:17:58.120191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.