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Paper Citation Record · LEDGER

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2608.08399.

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

pith.paper-citation-record.v1
2608.08399 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:50:35.534581Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:30:43.467104Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T04:30:43.519300Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved7
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b03a79e6-d3b0-4a1d-be1f-4941b6877678 · outbound

This paper cites On consistent surrogate risk minimization and property elicitation.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss On consistent surrogate risk minimization and property elicitation

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:50:35.465557Z digest=sha256:6aaad1022c413420e530c3dd6131ab08ec8ede5442e346a109cfb510078452e2

Observation 1c994f60-a728-4d16-85a7-c517f50d6db7 · outbound

This paper cites Dembczy\' n ski, Willem Waegeman, Weiwei Cheng, and Eyke H\"ullermeier.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Dembczy\' n ski, Willem Waegeman, Weiwei Cheng, and Eyke H\"ullermeier

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:50:35.721368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:50:35.470885Z digest=sha256:fc98be57f52bb724713f48f1db88acc6803adda18fecb0ffddec5bc55b992352

Observation 762e3f19-edde-42fa-bb62-6e1596973c3a · outbound

This paper cites Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0dade24f-d0e7-4e55-9d52-1d84ed6c77da · outbound

This paper cites Embedding dimension of polyhedral losses.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Embedding dimension of polyhedral losses

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:50:35.480222Z digest=sha256:6bdc1b7910d22e8cde098dfcc95d52b4550e52ee5de02bac3a1e3aef354af728

Observation dfe31943-cdb2-4854-abc8-336345b5c763 · outbound

This paper cites Frongillo, and Bo Waggoner.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Frongillo, and Bo Waggoner

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:50:35.683365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:50:35.484701Z digest=sha256:77da542b3922b0ffabefb0403f28382d220cf824c2e9dd1edbf1c2972a5a1d5b

Observation 16c68791-53de-4322-9018-11ded2bc60cc · outbound

This paper cites Frongillo, and Bo Waggoner.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Frongillo, and Bo Waggoner

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:50:35.671517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b34a39aa-3af4-4fe9-984a-5b7fe8a25513 · outbound

This paper cites an unresolved cited work.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:50:35.660198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:50:35.493330Z digest=sha256:544edb03efcf133c36d548dee888a7d713054ccef81ed07a25f6e55c40f1b9ae

Observation 53c4c2a6-2fb6-4575-bf95-e1269899e26c · outbound

This paper cites Koyejo, Nagarajan Natarajan, Pradeep K.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Koyejo, Nagarajan Natarajan, Pradeep K

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T04:50:35.497607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:50:35.497607Z digest=sha256:11be4d4f1b15527f2c6f533ddf12ca9aae8730f3d8a81b9a023ae2d10db806a6

Observation 6dd10732-2956-47a1-9878-a6824297ec58 · outbound

This paper cites Sharp analysis of learning with discrete losses.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Sharp analysis of learning with discrete losses

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T04:50:35.501405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:50:35.501405Z digest=sha256:07d5ca514bfa27f5552c97d448dbf4d9222f5ad4437c4328e45622ff09de0a8c

Observation a68e1eef-7f99-4ac7-be7e-34dfaddf163c · outbound

This paper cites Ramaswamy and Shivani Agarwal.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Ramaswamy and Shivani Agarwal

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T04:50:35.505219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:50:35.505219Z digest=sha256:4f81a680e4dab65f1b4f20bff04a5b265e13f275ed3da17088f8482ebfda008d

Observation e29ae30e-392a-44fc-8341-d8d450b7d382 · outbound

This paper cites Ramaswamy and Shivani Agarwal.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Ramaswamy and Shivani Agarwal

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T04:50:35.509266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:50:35.509266Z digest=sha256:74d0dc0b5c5f060ca7d6d8e68c64f441f2911a3b9bdfbb724da756d5580bd678

Observation acc02c24-87d4-40fb-8b90-76a55c9c51e2 · outbound

This paper cites Ramaswamy, Shivani Agarwal, and Ambuj Tewari.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Ramaswamy, Shivani Agarwal, and Ambuj Tewari

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:50:35.619897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:50:35.513445Z digest=sha256:422a609845390d4c89d03c082b5f98f53a4d4957b3ee359ed81036c163a89768

Observation aa8a002c-f2a6-42fc-b7be-607db51c5413 · outbound

This paper cites Ramaswamy, Balaji Srinivasan Babu, Shivani Agarwal, and Robert C.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Ramaswamy, Balaji Srinivasan Babu, Shivani Agarwal, and Robert C

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:50:35.607748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:50:35.517924Z digest=sha256:3a4c3d162e1f5780077b2de0317a559779085395e5276e2b70c1582d0f908e1a

Observation 4a4c4c0d-b582-444e-bd1c-72614aa893d4 · outbound

This paper cites On the Bayes-optimality of F-measure maximizers.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss On the Bayes-optimality of F-measure maximizers

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T04:50:35.521999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:50:35.521999Z digest=sha256:799fee32a409966c111dbdea3a91e61f441627f23b1af67bd65cc648103fa208

Observation 13089844-57fa-4e0a-9643-6aaae68a892c · outbound

This paper cites Revisiting F-measure optimization in multi-label classification: A sampling-based approach.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Revisiting F-measure optimization in multi-label classification: A sampling-based approach

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:50:35.586845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:50:35.525747Z digest=sha256:2288c617a4a3f36d60a706989742bf122b4fd1afc7f511158c7864baca7db3c1

Observation 099fce87-1cc1-4d8f-8c41-6923592e154b · outbound

This paper cites Chai, Wee Sun Lee, and Hai Leong Chieu.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Chai, Wee Sun Lee, and Hai Leong Chieu

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:50:35.574444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T04:50:35.530128Z digest=sha256:e99ade18271ebca65ac94d6e1c084910628e44236d3d55a3a6387d68a95b46e2

Observation 0d2bdcf7-a42b-4c61-baec-982c53b43aaf · outbound

This paper cites Ramaswamy, and Shivani Agarwal.

Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss Ramaswamy, and Shivani Agarwal

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T04:50:35.534581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:50:35.534581Z digest=sha256:6a7d0610d953c765eaad6397047ef432a674551355befe04a833fb046b9941a2

Pith citing papers

Observation ccb5c38d-2918-4908-8c36-2a4b5a4caeb2 · inbound

Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure cites this paper.

Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:30:43.546100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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