Pith. sign in

Paper Citation Record · LEDGER

Info-Coevolution: An Efficient Framework for Data Model Coevolution

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.08070.

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

pith.paper-citation-record.v1
2506.08070 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:36.247486Z

measured 44 of 44 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 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

44 of 44 outbound references displayed

  • verified exact3
  • verified fuzzy8
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54d225c3-0208-47f6-937c-df08eb6f557e · outbound

This paper cites write newline.

Info-Coevolution: An Efficient Framework for Data Model Coevolution write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:32.669509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:32.669509Z digest=sha256:da7cf96374c5e745ce77f9d563b6a1220d33544db9408062f0ddb0703a417fac

Observation 0dea6366-6840-44e9-b4bb-5df754123b1e · outbound

This paper cites Food-101 -- mining discriminative components with random forests.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Food-101 -- mining discriminative components with random forests

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:39.218105Z

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.

source=arxiv_source observed=2026-08-07T05:28:32.729981Z digest=sha256:43879561b6f992d924274e09edd9539a1a3d5aa358e85a624172b02a6aeabd98

Observation 97864143-ad64-4c0a-8e3e-e105c60e148d · outbound

This paper cites Language Models are Few-Shot Learners.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Language Models are Few-Shot Learners

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:32.782710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:32.782710Z digest=sha256:178f3f32daddf6bd53bc9e4dad4dc91a08b798e23dc3da97bc023075ec7813dc

Observation 7c21fb9c-1dee-47e0-aa1a-5bb15bd06aa2 · outbound

This paper cites Semi-supervised Vision Transformers at Scale.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Semi-supervised Vision Transformers at Scale

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:32.845705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:32.845705Z digest=sha256:7f6b71736732b6860e46e1cc003569fbaf639c192915b555dc05be7e554c93ca

Observation 896a3b3e-2969-4853-bef4-6ce1b59f5d62 · outbound

This paper cites Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:32.928691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:32.928691Z digest=sha256:fa6206db3b9d31f812ff3098658dd3d6b0a6b31c6ca11acf623bd5f708b121e1

Observation 2a000902-7aeb-429d-98f2-67fc12d4e7b3 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.041625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.041625Z digest=sha256:952e1f6334ba33ee90b5385b7bf1581d59ebe1e7d6c5fb899482bdf08242e6cc

Observation e1c64b40-2772-447f-8978-976f0aef6ac0 · outbound

This paper cites Selection via Proxy: Efficient Data Selection for Deep Learning.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Selection via Proxy: Efficient Data Selection for Deep Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.095368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.095368Z digest=sha256:c5287e362f76bb563474ccffc588300925a9392eec58199ee2b2ded1a09369e7

Observation 94838d54-eb4f-422c-bf16-644af4ecfa83 · outbound

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

Info-Coevolution: An Efficient Framework for Data Model Coevolution Imagenet: A large-scale hierarchical image database

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.165596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.165596Z digest=sha256:acb6993291832e82627e6c509c0895b39150fee1a610e424120e07c35164154c

Observation 8eb79743-620e-4caf-9897-1a21d46739fb · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Info-Coevolution: An Efficient Framework for Data Model Coevolution The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.247725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.247725Z digest=sha256:714f5fa8c9c79af7476b29f13a6fb179bf82c685e8ef7e7356be1f42de996f6b

Observation 502f85c5-9721-4ae4-b274-76ce7544c6ac · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Info-Coevolution: An Efficient Framework for Data Model Coevolution BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.333337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.333337Z digest=sha256:b73880dfcc403bc1b46ca3a043243b5a2526e19352aec85f0a27c95b91348836

Observation 83cebced-7d28-4a27-8563-c73d755ded49 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Info-Coevolution: An Efficient Framework for Data Model Coevolution An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.391974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.391974Z digest=sha256:ed0fc831fa5348cb0e01c15095516c6d6c762f8c995c0aafc823480f145fd549

Observation 1d693031-6c3a-474c-86f3-3e3678e42daf · outbound

This paper cites Adversarial Active Learning for Deep Networks: a Margin Based Approach.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Adversarial Active Learning for Deep Networks: a Margin Based Approach

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.458302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.458302Z digest=sha256:5866dbcee95f7e8bd87ad704cdd2b2f7284b5626a6a9280c15a85009bc202324

Observation 1524a0ff-8ad7-4d7a-9a07-1ecbad22fdfe · outbound

This paper cites DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning.

Info-Coevolution: An Efficient Framework for Data Model Coevolution DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.535416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.535416Z digest=sha256:8d3378e2c0ce8fe908bb0ea36cf8ff382db534298e54ea853e13e7d36a6c820d

Observation 3efd6ebc-71bd-43cf-aafd-ded2dbdaf1bf · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Masked Autoencoders Are Scalable Vision Learners

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.620096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.620096Z digest=sha256:ecde38bdeec6ce55b7feac5676019bf24d9cab4d5f0e23b8b01f64b7a50d66f7

Observation a918778f-7a78-4e84-b23d-dcc0bd365ab5 · outbound

This paper cites Active Learning: Problem Settings and Recent Developments.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Active Learning: Problem Settings and Recent Developments

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.709120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.709120Z digest=sha256:a23cf1a97637f938fabd18a488576c3208942222a8e50502b3b37fbd1f3233a8

Observation 24b2b3c8-75eb-4f1e-b2dc-b897860f7b19 · outbound

This paper cites Submodular combinatorial information measures with applications in machine learning.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Submodular combinatorial information measures with applications in machine learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.784616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.784616Z digest=sha256:b98ae59122265d77b5161d8939d56c4859fa0a522061357715546b2e41d882fc

Observation 3d42bbf5-7eb5-4242-b89b-d7d79dc5839c · outbound

This paper cites Grad-match: Gradient matching based data subset selection for efficient deep model training.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Grad-match: Gradient matching based data subset selection for efficient deep model training

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:33.852933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:33.852933Z digest=sha256:0544dc7d9ae8cd611a03f66a0c2a7ec0b12949c376e1762404a515c6d0a47227

Observation e501665d-5376-4c65-bac2-45ee7f77f3b3 · outbound

This paper cites Glister: Generalization based data subset selection for efficient and robust learning.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Glister: Generalization based data subset selection for efficient and robust learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:39.061514Z

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.

source=arxiv_source observed=2026-08-07T05:28:33.953031Z digest=sha256:9fc2c55994342b5a9de411d1aa6b6589032ac93fbc947f4d68b12da34d1ef604

Observation 1601ca78-a8d5-4a04-af69-22b0369b9b47 · outbound

This paper cites Segment Anything.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Segment Anything

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:34.029284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:34.029284Z digest=sha256:53887946195c43f0fe9e4af476e1edec3fdba770589928f9a65b36500c3843e9

Observation d8944ae0-730d-4c40-852d-e8a4b2feb9a1 · outbound

This paper cites Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:34.129578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:34.129578Z digest=sha256:f0c2fba2f84390aadadec37cffea8dbc92de1e9a5286a89b7b4d523741953019

Observation 14f3e807-7765-4cc8-b159-631d5608e112 · outbound

This paper cites Cifar-10 (canadian institute for advanced research).

Info-Coevolution: An Efficient Framework for Data Model Coevolution Cifar-10 (canadian institute for advanced research)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:38.867923Z

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.

source=arxiv_source observed=2026-08-07T05:28:34.217767Z digest=sha256:2ffab3ad8a84a9537b835e1d4a131086954e7f2a0b7a35a99ee31a5b8e608d6b

Observation d989deae-a48a-41c4-a516-d440b7fb0fb8 · outbound

This paper cites Cifar-100 (canadian institute for advanced research).

Info-Coevolution: An Efficient Framework for Data Model Coevolution Cifar-100 (canadian institute for advanced research)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:38.684976Z

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.

source=arxiv_source observed=2026-08-07T05:28:34.316048Z digest=sha256:b069be8558633744f1dad976a0346026ef12031bc2980278f2ed5a2fa174d97c

Observation 261898d4-c821-4893-9997-718d28fede54 · outbound

This paper cites A Survey on Deep Active Learning: Recent Advances and New Frontiers.

Info-Coevolution: An Efficient Framework for Data Model Coevolution A Survey on Deep Active Learning: Recent Advances and New Frontiers

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:34.384559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:34.384559Z digest=sha256:e31b4625b435a50b3ba4dcee6ab942d46dbb055b7e883b277c3b794917a4d50d

Observation 319f357a-1d63-43d6-9d2f-0d6f016e582a · outbound

This paper cites BLIP : Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Info-Coevolution: An Efficient Framework for Data Model Coevolution BLIP : Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:38.533730Z

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.

source=arxiv_source observed=2026-08-07T05:28:34.462996Z digest=sha256:f1dc687b6302a86f8de852820e7f2d92bfafb30d4055015ebb0e449ca6512b3b

Observation 2caa8c80-5ec0-456c-9da7-9043e5133b07 · outbound

This paper cites Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:34.543309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:34.543309Z digest=sha256:9280a8ec7f6ff1a31270b531d6c3123f99a00886dbe764e0dfc79801ec14c2b6

Observation 30f3828d-bcaf-498e-aaf5-c627d85f714a · outbound

This paper cites Active Learning by Acquiring Contrastive Examples.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Active Learning by Acquiring Contrastive Examples

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:34.631557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:34.631557Z digest=sha256:1da48c03b98bdfda1ec794e1eedec813cf9a771b5da326a2b896e14bbb524cb3

Observation a54aed7c-1ae8-4237-880d-8fbfd89e6c6b · outbound

This paper cites Coresets for data-efficient training of machine learning models.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Coresets for data-efficient training of machine learning models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:34.732094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:34.732094Z digest=sha256:ac9b03ea3062873a8e11366395bdc1bf3f86ad9b51e916f12f2b53a9c5b9261c

Observation e910dbe4-22f6-4dc2-b315-bab5487cf1da · outbound

This paper cites an unresolved cited work.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:34.838354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:34.838354Z digest=sha256:b4a132c2b9ed74e066102f6f08ad517178e6466ed244f259ca1768cd13941d77

Observation 0c13258c-4067-46b5-b6bf-0baa1d634bd1 · outbound

This paper cites Im2text: Describing images using 1 million captioned photographs.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Im2text: Describing images using 1 million captioned photographs

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:38.324838Z

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.

source=arxiv_source observed=2026-08-07T05:28:34.893272Z digest=sha256:3371806520aa291bafc9bd87922b73c972407e16bd34eb6d04f764eff2206a90

Observation dfbfd959-17cf-4923-a06a-2a6d44bb7132 · outbound

This paper cites an unresolved cited work.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:28:38.179455Z

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.

source=arxiv_source observed=2026-08-07T05:28:34.955495Z digest=sha256:fcf8fa87a4602a7b44feb0afaa0511169f5c150f6dc50587996bad25762da943

Observation 83c0fa25-6011-4c25-b7e4-9fa30f08a380 · outbound

This paper cites Dataset growth.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Dataset growth

Reference 31

Resolution
verified exact
doi, observed 2026-08-07T05:28:36.406186Z

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.

source=arxiv_source observed=2026-08-07T05:28:35.049519Z digest=sha256:944b0397b3ed6530f5df50df939c017f1a4721a0416d6745e972b1546dc02eda

Observation 6a654794-8f0a-43c7-8750-5421cb40e8d9 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Learning Transferable Visual Models From Natural Language Supervision

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:35.162486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:35.162486Z digest=sha256:23df4f456c23c430e820c549717caab08582c340bfd1ddec65e89a15600742bb

Observation 96e8c111-6bee-458e-8087-a23424bca0ae · outbound

This paper cites an unresolved cited work.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:35.242761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:35.242761Z digest=sha256:c044d0e2ce09f02620d6e67124ec2ae47f136d4c0d3076ba2e70f813df6d6128

Observation ba820f10-0ea4-440e-94c8-9b67323facf8 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Info-Coevolution: An Efficient Framework for Data Model Coevolution LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:35.303712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:35.303712Z digest=sha256:0c6af51c2167e4851d1b75e2f717754a91f7830df1f89310abd32e26667fc69a

Observation 5aa3b080-e73a-4f30-82bc-75ff97632f9b · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:35.458315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:35.458315Z digest=sha256:fbb1fb882595b6d7cd9fcaf03d3d3c30de59f70407247dca5f81a9f9f3dd2525

Observation c88a639c-6cc9-49c2-9c32-3c76b835d827 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:38.002654Z

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.

source=arxiv_source observed=2026-08-07T05:28:35.545067Z digest=sha256:1fa5b4612cf1760757c336bafba9d5d59599c0dd55c651457e0ccc6cc562517c

Observation aa3ccf19-90ad-41f5-b6f5-988b66333bf2 · outbound

This paper cites Small-gan: Speeding up gan training using core-sets.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Small-gan: Speeding up gan training using core-sets

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:37.851727Z

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.

source=arxiv_source observed=2026-08-07T05:28:35.628762Z digest=sha256:9e937c66fab98f36fa47cdf861a3d69360b1b60e06043bf9d180e45232f9dd07

Observation f7aa379b-84b8-4337-b767-8a5b1dacdb55 · outbound

This paper cites Prediction-Oriented Bayesian Active Learning.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Prediction-Oriented Bayesian Active Learning

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:28:37.133852Z

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.

source=arxiv_source observed=2026-08-07T05:28:35.729970Z digest=sha256:2db8f4151517bd4ed48e17b03284d9e1ec7a7c97b84b8c3bd3b68f6f6ee75797

Observation dc0d371b-e316-4021-9887-d56a50fe028f · outbound

This paper cites FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence.

Info-Coevolution: An Efficient Framework for Data Model Coevolution FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:35.844364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:35.844364Z digest=sha256:8810cd927522c25429e9a0fa40bf1d4b64fd63d6afd7795d9c7e9784e9819116

Observation 86cf6642-fa98-41c6-bf54-bbe543fa0c0f · outbound

This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

Info-Coevolution: An Efficient Framework for Data Model Coevolution An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:35.921467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:35.921467Z digest=sha256:412a8c46197d49c6865892e1e3a526f6d65c8227ed287c6ce038909dd73e6d8b

Observation 7b8044ef-c560-4326-ab3a-a1fd98e0984f · outbound

This paper cites FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

Info-Coevolution: An Efficient Framework for Data Model Coevolution FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:36.022024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:36.022024Z digest=sha256:c10942b78d2500ed6d83bf771b6e58d0653057406948987ed15739bac73c9958

Observation 2b2ab992-2f10-44b0-9264-ace91ff6c75b · outbound

This paper cites FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling.

Info-Coevolution: An Efficient Framework for Data Model Coevolution FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:28:36.840290Z

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.

source=arxiv_source observed=2026-08-07T05:28:36.082877Z digest=sha256:5dc74e58d1307ed9f486d9a59bd6303793dd1d4ad52021cb81ec6a80001114af

Observation 86422ae2-4d10-4727-b880-b41fae1147b6 · outbound

This paper cites Dataset Quantization.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Dataset Quantization

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:28:36.615922Z

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.

source=arxiv_source observed=2026-08-07T05:28:36.157381Z digest=sha256:f5d7efd0851d69647896b920814c7651db5c5083e2cb35231441eed494dbd659

Observation c3c2698a-7a61-4c6e-add2-091cbbc9ee59 · outbound

This paper cites Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books.

Info-Coevolution: An Efficient Framework for Data Model Coevolution Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:36.247486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:28:36.247486Z digest=sha256:a87978db034d8b226df5e64df4615bba963a78f50516e3fb0b1747d88a59c389

Pith citing papers

No inbound Pith citation observations are available.