Pith. sign in

Paper Citation Record · LEDGER

PartCo: Part-Level Correspondence Priors Enhance Category Discovery

As of 5 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2509.22769.

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

pith.paper-citation-record.v1
2509.22769 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T13:31:12.201742Z

measured 65 of 65 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T20:20:20.864444Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:16:10.996133Z

Reference resolution

64 of 64 outbound references displayed

  • verified exact3
  • verified fuzzy59
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96ebe4c7-eb72-4947-a019-c1fa1d642c43 · outbound

This paper cites write newline.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery write newline

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.928821Z

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=2026-05-22T13:31:12.201742Z digest=sha256:4d17d69635e0cda4ecb500eb0c97bd587bc419ee990efe80f908e34840ec9a5e

Observation de27c0e9-7dff-406d-87ad-848385e5238d · outbound

This paper cites Deep vit features as dense visual descriptors.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Deep vit features as dense visual descriptors

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.931993Z

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=2026-05-22T13:31:12.201742Z digest=sha256:e8515031e688683e7538c9a6761abef8b8ddae8f219758f84b7d321816fbccc9

Observation 174591ec-2a2a-4ff8-9c37-c6f97ef275a1 · outbound

This paper cites Semi-supervised learning of visual features by non-parametrically predicting view assignments with support samples.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Semi-supervised learning of visual features by non-parametrically predicting view assignments with support samples

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.925251Z

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=2026-05-22T13:31:12.201742Z digest=sha256:e256e1591cce5476878fd33709c2a346c1cf836a9de38ace9d0755a6f1ad0797

Observation 826e328d-e646-4c7e-9957-b9b0dca15b21 · outbound

This paper cites Amend: Adaptive margin and expanded neighborhood for efficient generalized category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Amend: Adaptive margin and expanded neighborhood for efficient generalized category discovery

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.921961Z

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=2026-05-22T13:31:12.201742Z digest=sha256:b27f19ef3c44d1fcc6867855ab2fce96ed3cb9a08ab3da54fe1f7f7e8ac927b5

Observation 3c2e06ba-cf63-4c10-b6e0-1b327001f280 · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Mixmatch: A holistic approach to semi-supervised learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.918268Z

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=2026-05-22T13:31:12.201742Z digest=sha256:da2e458f4de94d5c1a705112a816600882d781f8450d6253839d49315e0aba82

Observation a84c6f8f-4923-4f5c-b7f2-5b748f2b34e7 · outbound

This paper cites Bird species categorization using pose normalized deep convolutional nets.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Bird species categorization using pose normalized deep convolutional nets

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.914608Z

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=2026-05-22T13:31:12.201742Z digest=sha256:1462ac7d22d48483c0d506fe97871c8d3b954f6e0106fd1bfa5c52676428a1da

Observation 6cbd2d15-3716-425b-a205-dd9e00f20bfb · outbound

This paper cites Open-world semi-supervised learning.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Open-world semi-supervised learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.935215Z

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=2026-05-22T13:31:12.201742Z digest=sha256:afc3813e3b451de180fc4e299c65bf8f8889409e8767c2185550ceb77ece0cd0

Observation 8d3d6909-bc92-46cc-8dd7-9ec05134411b · outbound

This paper cites Emerging properties in self-supervised vision transformers.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Emerging properties in self-supervised vision transformers

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.911279Z

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=2026-05-22T13:31:12.201742Z digest=sha256:ffdf25c081777aad93870c2a9ea7b2092e5ea763705bdf6618eb245b5188ef7b

Observation 4f45c7b4-8b34-420e-8596-2afc475fc78e · outbound

This paper cites Promptccd: Learning gaussian mixture prompt pool for continual category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Promptccd: Learning gaussian mixture prompt pool for continual category discovery

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.749280Z

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=2026-05-22T13:31:12.201742Z digest=sha256:2408efd593b135fed5ab02ee5a1f68e02bc3ff8f2d55ebcd16f8fc5b0fb3454a

Observation 28ef91d5-2b38-40c5-a232-d3652bc81f53 · outbound

This paper cites Semi-supervised learning (chapelle, o.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Semi-supervised learning (chapelle, o

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.867757Z

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=2026-05-22T13:31:12.201742Z digest=sha256:77b12879b3097aad6917b2a1ce8204a7520af682038b35d69a16340b587de2d9

Observation d0e35530-9b41-466d-a9b1-76c4ea47957f · outbound

This paper cites Fine-grained image-text correspondence with cost aggregation for open-vocabulary part segmentation.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Fine-grained image-text correspondence with cost aggregation for open-vocabulary part segmentation

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.863238Z

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=2026-05-22T13:31:12.201742Z digest=sha256:372a61aad1f10d8e89847889d148c1154d54bfd3e5a48e548587cfedfa819959

Observation ad9a232b-d9a3-49f6-a502-dee86537fb8f · outbound

This paper cites Unsupervised part discovery from contrastive reconstruction.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Unsupervised part discovery from contrastive reconstruction

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.732413Z

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=2026-05-22T13:31:12.201742Z digest=sha256:3dd3fff4cbad976402dbc8479e7284d426f7b5e3b40c03a6eeb09543053f8acd

Observation f0d8f3e3-07f2-42c1-9af5-fbcc742b7578 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Imagenet: A large-scale hierarchical image database

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.791590Z

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=2026-05-22T13:31:12.201742Z digest=sha256:802657676f011dd01fd25e834c929801d9e99f8bafb4584b3a59b1752e58d506

Observation 661335bc-f882-4e5b-a304-e449b8befabe · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery An image is worth 16x16 words: Transformers for image recognition at scale

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.878288Z

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=2026-05-22T13:31:12.201742Z digest=sha256:17975697635a6cba69b33c91135995393b1b846e94c6f911571f4be6dc5ba5ec

Observation af1588e8-76d2-487d-b289-f21562b00f0d · outbound

This paper cites A unified objective for novel class discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery A unified objective for novel class discovery

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.743054Z

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=2026-05-22T13:31:12.201742Z digest=sha256:6ac9a6ab21395d31f1e4700fe4e7e01db8b3da09bfa6125cbccb262a08f280d2

Observation 1d8be3a2-e47d-4582-83d1-e23803af2c76 · outbound

This paper cites Learning to discover novel visual categories via deep transfer clustering.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Learning to discover novel visual categories via deep transfer clustering

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.768429Z

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=2026-05-22T13:31:12.201742Z digest=sha256:e4f5702444caea9f0bb3f3efde32738125089970b409df377c6aac67df6f9d14

Observation 3fe2ae19-8538-4c76-a012-5b6c02855679 · outbound

This paper cites Automatically discovering and learning new visual categories with ranking statistics.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Automatically discovering and learning new visual categories with ranking statistics

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.729418Z

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=2026-05-22T13:31:12.201742Z digest=sha256:2708c45d96b51829fb0d3944054762cc5d68c4fb3f02221b4e7f41c706cbb067

Observation bd24e77f-9d4b-4b05-9924-da892368fecf · outbound

This paper cites Autonovel: Automatically discovering and learning novel visual categories.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Autonovel: Automatically discovering and learning novel visual categories

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.752435Z

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=2026-05-22T13:31:12.201742Z digest=sha256:b4fa6bcce667d168f1543747ef18851821c9c8c703ce419e1861bdd2b923e0f3

Observation 6dc3b6db-06bd-4e18-8221-73c2a996b328 · outbound

This paper cites Cipr: An efficient framework with cross-instance positive relations for generalized category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Cipr: An efficient framework with cross-instance positive relations for generalized category discovery

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.887709Z

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=2026-05-22T13:31:12.201742Z digest=sha256:3daf3d078d04f19bb217b049f2404cf54e1da4ca9569f21a68a7843cc8db7c1a

Observation 96406324-b100-47fb-883c-3f3b6495673d · outbound

This paper cites Trash to treasure: harvesting ood data with cross-modal matching for open-set semi-supervised learning.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Trash to treasure: harvesting ood data with cross-modal matching for open-set semi-supervised learning

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.715525Z

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=2026-05-22T13:31:12.201742Z digest=sha256:d01bb475c4ca31fd2c316cfa7f4903e9c0d24e7674bb0f98ffb401b7b356f215

Observation c4c75070-c134-47c8-9c19-af51df2c0f53 · outbound

This paper cites Joint representation learning and novel category discovery on single-and multi-modal data.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Joint representation learning and novel category discovery on single-and multi-modal data

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.859656Z

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=2026-05-22T13:31:12.201742Z digest=sha256:782f87d0375484bb9a1151c3185f2e2c3860b6ca516f14013a96e5d55146632b

Observation 0161a416-1058-42d2-8ed6-b9dc53c6d220 · outbound

This paper cites Novel class discovery without forgetting.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Novel class discovery without forgetting

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.816707Z

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=2026-05-22T13:31:12.201742Z digest=sha256:a766fe7d5b951600dbc0b333e8364ec718ee3bd459454cca196275bea2ad7ca6

Observation a7fae7e2-62d5-41df-87ea-7d6fe0e5b2bf · outbound

This paper cites 3d object representations for fine-grained categorization.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery 3d object representations for fine-grained categorization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.736441Z

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=2026-05-22T13:31:12.201742Z digest=sha256:b440b63ba6b0c607187e5371d7b3a65e384e9b0a91da9bfefae60d8c1f146e6e

Observation cc36df1b-2da3-41c3-9579-1df857354434 · outbound

This paper cites Krizhevsky and G.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Krizhevsky and G

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.764898Z

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=2026-05-22T13:31:12.201742Z digest=sha256:ee80e4cb297421f5b06453f6f81e79ab44b02b6ed18ba0b4d4c6bd58f121a12e

Observation bae8c80d-6c5e-4c68-a4d8-254a6eed0bb4 · outbound

This paper cites Temporal ensembling for semi-supervised learning.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Temporal ensembling for semi-supervised learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.829503Z

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=2026-05-22T13:31:12.201742Z digest=sha256:0c4589a1eb2a1db68a3a2d0084f40cebcbf476d2f88daff6b01c8bb0aad8f706

Observation c5e4b336-254d-4e76-be26-5a1431e67433 · outbound

This paper cites Flipped classroom: Aligning teacher attention with student in generalized category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Flipped classroom: Aligning teacher attention with student in generalized category discovery

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.881471Z

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=2026-05-22T13:31:12.201742Z digest=sha256:bfc540ebcf2fa934e4d886adfb1bf36528d9a42da4fef3906347c517a5622f0a

Observation fcdde1d9-d5a4-46bd-a9cd-c10d8211fd40 · outbound

This paper cites Debgcd: Debiased learning with distribution guidance for generalized category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Debgcd: Debiased learning with distribution guidance for generalized category discovery

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.761624Z

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=2026-05-22T13:31:12.201742Z digest=sha256:e648aa6bd0138c698d139e7f4fd857804f79df4ee4705642e9f24bdc043c8d3a

Observation acaf46a4-dd60-44d7-b0fc-8098ae03ff36 · outbound

This paper cites Unsupervised part-based disentangling of object shape and appearance.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Unsupervised part-based disentangling of object shape and appearance

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.813437Z

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=2026-05-22T13:31:12.201742Z digest=sha256:ed22b3301c2de2bf2f22a6b3d5fdde7047a411516d20955187efb699c21f2e7e

Observation 69851965-d814-4547-9159-a482ad0843a9 · outbound

This paper cites Protogcd: Unified and unbiased prototype learning for generalized category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Protogcd: Unified and unbiased prototype learning for generalized category discovery

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.871535Z

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=2026-05-22T13:31:12.201742Z digest=sha256:6b229fb2583bf167c406df3e43b390ce88387f52b7c00b0a0ef57308092d3eab

Observation ff4d2e74-771b-4da3-b67a-0e9573140f98 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Fine-Grained Visual Classification of Aircraft

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.031660Z

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=2026-05-22T13:31:12.201742Z digest=sha256:bb18a409eab26ddcca623b49c4892dd4c8f818cdc977e34e0ee6e4f6af6eb9f5

Observation 5766e89e-3167-455a-ad0d-8ca56d19e5ac · outbound

This paper cites Discovering relationships between object categories via universal canonical maps.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Discovering relationships between object categories via universal canonical maps

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.890968Z

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=2026-05-22T13:31:12.201742Z digest=sha256:1d4f17a8de7ccaa4faf6caa70e3158a7c8035c38c05a4f5f1035e3ca512c3c1c

Observation c7690b3f-b250-4b00-bbbf-d833bc98388a · outbound

This paper cites I have seen enough: Transferring parts across categories.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery I have seen enough: Transferring parts across categories

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.785410Z

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=2026-05-22T13:31:12.201742Z digest=sha256:ad48b3f62454272a67537684f4586636d43df269a336f3bdf3a0db54601f0677

Observation 651e1823-ab7e-411a-b604-ea3af642f709 · outbound

This paper cites AnchorNet : A weakly supervised network to learn geometry-sensitive features for semantic matching.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery AnchorNet : A weakly supervised network to learn geometry-sensitive features for semantic matching

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.739776Z

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=2026-05-22T13:31:12.201742Z digest=sha256:0dd2efe5b60825e927d35de5642309db570e25024f737295c28be294c88de10e

Observation ec20c1bf-dd88-479f-954e-e60d2471aa0e · outbound

This paper cites Self-supervised learning of geometrically stable features through probabilistic introspection.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Self-supervised learning of geometrically stable features through probabilistic introspection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.846359Z

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=2026-05-22T13:31:12.201742Z digest=sha256:82b3f4ab4fa67310798eba5fea9babfedefb0643d71b62acf676d4f95d76eb46

Observation c89700c7-ba4f-45f5-905d-97ab282e795b · outbound

This paper cites Realistic evaluation of deep semi-supervised learning algorithms.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Realistic evaluation of deep semi-supervised learning algorithms

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.849397Z

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=2026-05-22T13:31:12.201742Z digest=sha256:0dfcb0970dbdbf8c7df79da9872a5943df5f2a216870bacac5aeaac627a2b326

Observation 500a5543-1eb2-437f-b859-b326e0369da1 · outbound

This paper cites an unresolved cited work.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-22T13:31:36.893975Z

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=2026-05-22T13:31:12.201742Z digest=sha256:0980daa1e8a13d55e34a7e449cc32bb940dc9ef6b1d1b0ea9a6b42f1d8771dff

Observation aac6a8db-fd93-4d9e-8bcf-2ac674b3f289 · outbound

This paper cites Cats and dogs.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Cats and dogs

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.855995Z

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=2026-05-22T13:31:12.201742Z digest=sha256:33bb7de6ca7f304c20842fdc3d3a13c3a39e4068f82b5cc198f170a2c613eedd

Observation 59fb4f91-f313-4882-a768-e0b92e160a4d · outbound

This paper cites Dynamic conceptional contrastive learning for generalized category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Dynamic conceptional contrastive learning for generalized category discovery

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.771811Z

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=2026-05-22T13:31:12.201742Z digest=sha256:0b79906cccce98ec9cd7027b1e915deccf800f53ff36e527f4f1add5209d06e3

Observation ae69c373-0519-4b61-abb3-84567880ebc1 · outbound

This paper cites Federated generalized category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Federated generalized category discovery

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.819824Z

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=2026-05-22T13:31:12.201742Z digest=sha256:6b9669dd72490f03bd98735ec671b4cf57b5804d877f6619284c920c3c03162b

Observation e12a9a56-889f-4296-b48d-d1ec6bdebb28 · outbound

This paper cites Selex: Self-expertise in fine-grained generalized category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Selex: Self-expertise in fine-grained generalized category discovery

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.755489Z

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=2026-05-22T13:31:12.201742Z digest=sha256:38a09ae5dc28971ebd1e19aa58f92f45f26ffb097e3b1f95005d2bf3ca03cee8

Observation 7276e0a0-3c1a-4534-8286-9f4dbf21ff04 · outbound

This paper cites In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.719275Z

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=2026-05-22T13:31:12.201742Z digest=sha256:fed857ec79fec44f65118c3807b666544ae9cf27021426425b8b34e8c119256a

Observation a9e550c0-101c-4b0b-926c-728bbb21d4f8 · outbound

This paper cites Openmatch: Open-set consistency regularization for semi-supervised learning with outliers.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Openmatch: Open-set consistency regularization for semi-supervised learning with outliers

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.758476Z

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=2026-05-22T13:31:12.201742Z digest=sha256:92dc00be3b709b509f1a43ad40ece654f139b0460065d93fbc8403fe2ab756b9

Observation 1231fcf8-febf-4fd7-9b86-f3e0b4dc96c0 · outbound

This paper cites DINOv3.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery DINOv3

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-22T13:31:36.026328Z

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=2026-05-22T13:31:12.201742Z digest=sha256:ee3d7ade32270d3e7c5836bf5350b1a8b02786474981b10efbc2a01d4a29ddcd

Observation 27d632eb-7ecc-448f-abd8-cb9cdc30c269 · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and confidence.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Fixmatch: Simplifying semi-supervised learning with consistency and confidence

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.843206Z

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=2026-05-22T13:31:12.201742Z digest=sha256:919e07edfc5312785b46c51e5463f34daa4a20aff2cbb6a42e78e71196511ddf

Observation a481a410-b7cf-407b-a2e7-c0d8fbb30302 · outbound

This paper cites Going denser with open-vocabulary part segmentation.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Going denser with open-vocabulary part segmentation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.778592Z

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=2026-05-22T13:31:12.201742Z digest=sha256:577080dd04cddd75575f3475e59f7b0fe9892e4b98c9556fbecb74f0f269e3e5

Observation 0096d652-b420-4464-be13-c30bd413a9f1 · outbound

This paper cites The herbarium challenge 2019 dataset.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery The herbarium challenge 2019 dataset

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.746246Z

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=2026-05-22T13:31:12.201742Z digest=sha256:732b0b5f97231943962556a5fe205781b63df0509d7310f843d7bfe8a664ee73

Observation 55e413f2-88c2-47ab-9a7c-c0c9959558de · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.722610Z

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=2026-05-22T13:31:12.201742Z digest=sha256:be5bc913b15b40f00a08f992f67ad0b052660cc499703bfc8d838f6af34b2d14

Observation a0d5cc17-1ac6-47a0-abc6-fd282abfb8ee · outbound

This paper cites Generalized category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Generalized category discovery

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.874643Z

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=2026-05-22T13:31:12.201742Z digest=sha256:1cb92b5d89529445b09acfacc841ced663e87576bd7ce2c0cf6498acaac833cd

Observation 1ddfe394-c87e-4a19-8f4d-255bc5ae57ff · outbound

This paper cites The semantic shift benchmark.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery The semantic shift benchmark

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.836300Z

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=2026-05-22T13:31:12.201742Z digest=sha256:544f1a3ef64d13fbfc3c366c1513eb03d644c75c42ab9af7aeda1410c5ebeefd

Observation 37ac92f5-ea0e-4fe4-904d-22899f224b4a · outbound

This paper cites No representation rules them all in category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery No representation rules them all in category discovery

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.781680Z

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=2026-05-22T13:31:12.201742Z digest=sha256:a643ebdd113548dad4d93ef746a5b47614c491ca5a0d0e5dc6d0aafd3b67ad0e

Observation 7a0a3d51-6804-43b7-b413-dfb3dd652d6e · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery The caltech-ucsd birds-200-2011 dataset

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.775026Z

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=2026-05-22T13:31:12.201742Z digest=sha256:bf8c16796ac1010b3bd24256df74fa94a62b421cdc693dd91e5f104689b9d8ef

Observation 68b37e9c-0deb-4fba-b48e-38c3ba18a4da · outbound

This paper cites Sptnet: An efficient alternative framework for generalized category discovery with spatial prompt tuning.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Sptnet: An efficient alternative framework for generalized category discovery with spatial prompt tuning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.826071Z

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=2026-05-22T13:31:12.201742Z digest=sha256:f62094b4d9e3f1293334ea4febe0e03033e3e8474a082451bb439ea44f20dddc

Observation 8cb8061b-ce7c-4e13-bd86-87919740df6c · outbound

This paper cites Hilo: A learning framework for generalized category discovery robust to domain shifts.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Hilo: A learning framework for generalized category discovery robust to domain shifts

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.832846Z

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=2026-05-22T13:31:12.201742Z digest=sha256:a6c31a8de1309d709fef70200e8c58125d8b965e63d7d0afffcc4081f6529833

Observation 0638a893-a497-4f06-afc4-03b75aa9322e · outbound

This paper cites Parametric classification for generalized category discovery: A baseline study.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Parametric classification for generalized category discovery: A baseline study

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.810164Z

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=2026-05-22T13:31:12.201742Z digest=sha256:1b789e14adcb2e5bcfebc68c55edf5f3ce36ac5b93ba999f2292123270400020

Observation ccacb41e-3fb3-44b1-bd0c-ad3d10957c2f · outbound

This paper cites Multi-task curriculum framework for open-set semi-supervised learning.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Multi-task curriculum framework for open-set semi-supervised learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.907993Z

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=2026-05-22T13:31:12.201742Z digest=sha256:08aaf597e9414ab040da16f50a22df4c5f8909bb8cfeb3f5dc45522321c4f722

Observation 5a9a6cde-a0cc-4ea9-878a-3db089b42843 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.904311Z

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=2026-05-22T13:31:12.201742Z digest=sha256:47f9a323d2b0e3ecced454e3c6a7d023a0d2464e00d00622ec03930630c804f1

Observation e62fa97e-d675-41c3-b42c-b83dd3d41631 · outbound

This paper cites Grow and merge: a unified framework for continuous categories discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Grow and merge: a unified framework for continuous categories discovery

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.897603Z

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=2026-05-22T13:31:12.201742Z digest=sha256:affaa85cfd4db5e0b43f28d92e3ff3e68dbbf40521fef7505d8c9ff3413056ae

Observation 36fa1376-46bf-4d3a-90d3-1098303c0fd3 · outbound

This paper cites Novel visual category discovery with dual ranking statistics and mutual knowledge distillation.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Novel visual category discovery with dual ranking statistics and mutual knowledge distillation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.884586Z

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=2026-05-22T13:31:12.201742Z digest=sha256:ae0576e34b5fa000bd81ced717c9faf1b86e098bd6aa072fb2bb61828f0b5d8d

Observation 267b215b-683f-4dd7-8957-66caeba2a1c2 · outbound

This paper cites Learning semi-supervised gaussian mixture models for generalized category discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Learning semi-supervised gaussian mixture models for generalized category discovery

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.726024Z

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=2026-05-22T13:31:12.201742Z digest=sha256:d6dd489c30e3a16564d9101ec50092944305d214f27990f56f0618d950e2b251

Observation 435d53d7-4081-45ab-9c98-3eab9c9026f2 · outbound

This paper cites Neighborhood contrastive learning for novel class discovery.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Neighborhood contrastive learning for novel class discovery

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.901068Z

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=2026-05-22T13:31:12.201742Z digest=sha256:05ee90f3c7b20326a0fdbd9f1203524697f9c616ee6f2abe7e3ec09586815b9f

Observation 55b6be2b-1753-416c-988d-9d56dd50cb3c · outbound

This paper cites Semi-supervised learning literature survey.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Semi-supervised learning literature survey

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.839801Z

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=2026-05-22T13:31:12.201742Z digest=sha256:7433867b01a9e165ad9b2608411fb6d3b87ab4bdee7533a8877817dafe170cec

Observation 3625a04b-cd94-4bc0-80e4-afeab4af7341 · outbound

This paper cites @esa (Ref.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery @esa (Ref

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T13:31:36.852716Z

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=2026-05-22T13:31:12.201742Z digest=sha256:b7363e8628f5caab35a902e0e484237ad113aad63506b9e3b1d26fe5b5b30fee

Observation eca60127-25c7-40a8-a202-0c276dd52783 · outbound

This paper cites an unresolved cited work.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-05-22T13:31:36.806007Z

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=2026-05-22T13:31:12.201742Z digest=sha256:cf54783fcc59cea6a53a1aa7ea0323f4fbb90bf67aaaf8149a42f807f8493e4a

Observation 9547f896-67c2-47ff-b516-d419575d4865 · outbound

This paper cites Most results are obtained on an NVIDIA RTX 4090 GPU, while experiments involving ViT-L/14 are performed on an NVIDIA RTX A6000 GPU.

PartCo: Part-Level Correspondence Priors Enhance Category Discovery Most results are obtained on an NVIDIA RTX 4090 GPU, while experiments involving ViT-L/14 are performed on an NVIDIA RTX A6000 GPU

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:31:36.038762Z

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=2026-05-22T13:31:12.201742Z digest=sha256:69138f8bcf542fd5d005a394f50922e1f1d64efd30e1d7dc0f6a7790ae748a2b

Pith citing papers

Observation df6c336c-e104-4a48-a609-c6d71b8c32a5 · inbound

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models cites this paper.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models PartCo: Part-Level Correspondence Priors Enhance Category Discovery

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T02:03:50.010837Z

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=2026-05-09T20:20:20.864444Z digest=sha256:7946be04994a9081fd1fcf3f5a2af54f6d1a7e1a4ad8be62e424fa51207938fe