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Paper Citation Record · LEDGER

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.02850.

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

pith.paper-citation-record.v1
2607.02850 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:37:34.581914Z

measured 36 of 36 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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e11422d2-f407-4201-b3b8-53232a4e49a2 · outbound

This paper cites Advances in neural information processing systems , volume=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Advances in neural information processing systems , volume=

Reference 1

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:500f5792c1cd6215fac665d994765ca5e5abefa0aea076e57af85e463314851b

Observation d648851b-604d-4d4e-a3f8-72a7461c86c3 · outbound

This paper cites International conference on machine learning , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data International conference on machine learning , pages=

Reference 2

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:0da8019582a78b0ecae2f10b6b70a3c7bb52e5104303410a05398f092041140f

Observation 24bb457f-3b63-4083-be1f-45c1a0a5e97f · outbound

This paper cites Meta-SGD: Learning to Learn Quickly for Few-Shot Learning.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Reference 3

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:76c2537c714257eb7210aa1095d07d67a1bb206ce81e0f29960ae26ed4f99b6c

Observation 5c858518-007f-4074-bba7-d8dee883de44 · outbound

This paper cites International conference on machine learning , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data International conference on machine learning , pages=

Reference 4

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:fb1829aad6d4a04cd86dd471dc48f35c828801e86f2f0252bcd9a0c74ed2eefd

Observation 7811e3ee-0569-4d97-b6f5-7882571fab50 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 5

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:38c575424fef87750945071d80b88945961190a3fe88582f44226b34318a4859

Observation 4c1897dd-fae3-4557-a3d8-f8ce8ab2f3e6 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 6

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Observation 1a52bd19-4774-46ca-a80f-54846927046e · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 7

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:b07f424caec0ebde8ee7f07f63af888532003c9e15226483a5cd84ae713b2dfc

Observation eded0238-1011-48f5-a40d-5e9492a9495d · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 8

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:a442227f4045886125114500dd4bdddeafbd8b15ba079e80918550eba46e5c0c

Observation 6102a64a-265a-418f-9011-fcdf9e348665 · outbound

This paper cites International Conference on Machine Learning , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data International Conference on Machine Learning , pages=

Reference 9

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:c6c32b4375842211342a37f69c57d599e8c35fa982bfa595fbe86a1ffea76c01

Observation c0b6458e-3b9f-460b-943d-ab04d11c0e53 · outbound

This paper cites Uncertainty in Artificial Intelligence , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Uncertainty in Artificial Intelligence , pages=

Reference 10

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:f2987094143d29bd14b540d2294744766d6fad1bda683222c6e5b8bb3f8fe3bf

Observation 50717ef1-8a0c-4d14-8322-ab2169242a99 · outbound

This paper cites 33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011 , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data 33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011 , pages=

Reference 11

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:1a3ad275aa5bebd6b997dbe90b93632a6655b245d22b482a2c5db4da3daab6b5

Observation af113c2e-be49-4b79-8d95-bdd2fb1898dc · outbound

This paper cites Advances in neural information processing systems , volume=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Advances in neural information processing systems , volume=

Reference 12

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:5697c8ee213c191cde9a4775a1cc8436ea2c0ba840aa271cb1e81200d34cca41

Observation 61e4131c-4609-4d53-9f60-e291403701ce · outbound

This paper cites International Conference on Learning Representations , year=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data International Conference on Learning Representations , year=

Reference 13

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:734f05d082ea4f1c0a25112f51393d0d7ea6055339ad09409e6fca0d288536c5

Observation 809eb579-e0f0-4ffb-8467-c2faa536a5af · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 14

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:975f90656f276b9946b48d4f8046a9836cd0b311ee8c996dec12e200d81c0237

Observation 5841d454-5d2e-47a4-bd63-5a201f40ae24 · outbound

This paper cites Transactions on Machine Learning Research , year=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Transactions on Machine Learning Research , year=

Reference 15

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:32ee0c9b8bf6a09325b28b79395037ac2a0291f7d0c368c79a89973af93fa0c5

Observation a3f8a0db-a369-474b-9251-856f5fcd3787 · outbound

This paper cites 2011 , institution =.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data 2011 , institution =

Reference 16

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:39c364d144a558790c0a29934e2149a54f4c563e9ea964b7f8afb6cfc732ae5b

Observation ed336f34-aa01-4cb8-acd2-59eb38481c7c · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data The Eleventh International Conference on Learning Representations , year=

Reference 17

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:f80f1d5a65eb4947a59bdc7d80d52e4014e60fca0286cef586cd5b698cdc0b94

Observation 3cdbf94b-00f4-4dc9-847b-208bfbba02c1 · outbound

This paper cites ECAI 2020 , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data ECAI 2020 , pages=

Reference 18

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:16ce4d3013562ef1a07ea11f40c26b34c80cebe5095de465deaea8c535290567

Observation 93875884-e164-42d4-b6dd-bf2b7d8b00f3 · outbound

This paper cites International Journal of Computer Vision , volume=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data International Journal of Computer Vision , volume=

Reference 19

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:dcdd9a31554a06c885fe963cadd04015d77cf5411be75b5c9b483b2d85243717

Observation 6994c7df-08e3-451c-b47e-30674a935353 · outbound

This paper cites International conference on machine learning , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data International conference on machine learning , pages=

Reference 20

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:28c3e5d86cc5b3a68287044450bacc25f3c4ff79157f48fe9111bacde3f7b7e6

Observation 3c4ba6f7-8e55-48ff-8fe6-e74bfdb77627 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Distilling the Knowledge in a Neural Network

Reference 21

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:ea2d083651ea6b1833e81f7cb30f6c3c80a19e2501c700d4ea19c5b0943e09ae

Observation d2f01d38-26b1-4ca9-9644-254eb5871557 · outbound

This paper cites , author=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data , author=

Reference 22

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:5f90a4048f30ac5b4151d0559f8420bd536c96f5a59d6d4e57aad0fc0c0092df

Observation fda7a9f4-6e8b-47ce-937e-52a9c851425a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Advances in Neural Information Processing Systems , volume=

Reference 23

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:0f7b10fe7394e5aca8d6957b776305c38e2193a5e8b8744c8d53798b5660c025

Observation 23bb209b-5b81-464e-86d8-57577a2fdc4b · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Advances in Neural Information Processing Systems , volume=

Reference 24

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Observation 4b8608ed-e75f-440d-aa7a-447a5cce4646 · outbound

This paper cites International Conference on Learning Representations , year=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data International Conference on Learning Representations , year=

Reference 25

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:1eb61769a86ba02387074a2cfdb902526b611b91448a833fe24727e492176701

Observation cc11315d-7778-421e-928d-aa2dd30bae93 · outbound

This paper cites Advances in neural information processing systems , volume=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Advances in neural information processing systems , volume=

Reference 26

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Observation da9bb926-3a79-4d5c-bd64-8a5bb21dc91b · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 27

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:92d9e347effb41e27b70b210f79e59a81efc3f5b94d2887e8cc7395153f44106

Observation dcaf5c1c-1079-450d-97ad-0779ecfe5f07 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 28

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Observation 4289e8dd-61cf-4480-83be-60a62e4982d5 · outbound

This paper cites International conference on machine learning , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data International conference on machine learning , pages=

Reference 29

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Observation 281dbd68-5edf-4d84-b543-bcc1bb00d474 · outbound

This paper cites Asian Conference on Machine Learning , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Asian Conference on Machine Learning , pages=

Reference 30

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:01b2a9c16c3d5366e37ec0fc6231a46f0d6dd3a930a7a5d1423c10ccc8e80d1b

Observation dd2d1d68-23e6-4b78-892c-c3f8300b37ba · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 31

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This paper cites International Conference on Learning Representations , year=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data International Conference on Learning Representations , year=

Reference 32

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:e0bdf64821d155fc2d634c4b0f272f49b4bcd9b431f160c317d9f0ab4563e91e

Observation 4a6ade6e-907a-45be-b0d8-62855fb8462f · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 33

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:28e2401f14b8599f3d59af2c9c305644c06d5f793a9f5df7bf8e6479a070b099

Observation ebce4fd8-1451-4aae-a24c-dad9722b7b6a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Adam: A Method for Stochastic Optimization

Reference 34

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:959992fbc98c9cd17e6ab16fc87de44786922de19bad46fe6f2851e4b957b3dd

Observation 2d9ad4fa-22db-471c-8831-6dbb8f2e5c23 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 35

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:8d8ea9f305d68f5893fca566527112a0e3208ee77f353d7a2a7c350c9ff6ec6d

Observation de2661f7-0962-491a-83c5-30e389246cf8 · outbound

This paper cites Machine Learning with Applications , volume=.

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Machine Learning with Applications , volume=

Reference 36

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source=arxiv_source observed=2026-07-12T06:37:34.581914Z digest=sha256:6b2833b169a0b0d54bc35164001236f95ca479022762fe7cfba0554337dd65dc

Pith citing papers

No inbound Pith citation observations are available.