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Paper Citation Record · LEDGER

Macro F1 and Macro F1

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1911.03347.

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

pith.paper-citation-record.v1
1911.03347 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:45:00.138004Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

24
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0965166f-acfe-4734-9e40-9dd9a10ebe5f · inbound

Timestamp calibration for time-series single cell RNA-seq expression data cites this paper.

Timestamp calibration for time-series single cell RNA-seq expression data Macro F1 and Macro F1

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T22:54:33.731100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:54:33.731100Z digest=sha256:e55833d7a227ba2392658376f62d76d3146c2722a4de1534520c89e86fac71a5

Observation 8bce86f3-621b-440b-b9fc-0a2dbf113d67 · inbound

Financial Fine-tuning a Large Time Series Model cites this paper.

Financial Fine-tuning a Large Time Series Model Macro F1 and Macro F1

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T16:43:21.424726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:43:21.424726Z digest=sha256:7722a73411f5588adfe01b092fe3f7644233322137468d83af6fb9bd0ba8fa2b

Observation 0e7d3a4a-5c62-4fd8-896b-e1dc0cd517ed · inbound

ActRef: Enhancing the Understanding of Python Code Refactoring with Action-Based Analysis cites this paper.

ActRef: Enhancing the Understanding of Python Code Refactoring with Action-Based Analysis Macro F1 and Macro F1

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T22:45:00.138004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:45:00.138004Z digest=sha256:708963622fb380338664fdafe26ec9dd58f6b4ad9772eb9a3e73dca848f28c5b

Observation 57ce8eb2-2898-4271-90e1-a496e3fa3757 · inbound

Gaze-Enhanced Multimodal Turn-Taking Prediction in Triadic Conversations cites this paper.

Gaze-Enhanced Multimodal Turn-Taking Prediction in Triadic Conversations Macro F1 and Macro F1

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:15:20.621790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:15:20.621790Z digest=sha256:a7dda9c324278f62bff7b4303e6980b2b4486ee3377f26427c3948fbc6f397b1

Observation e3d2a4c4-9b03-44b0-abf8-b2b9e54f1dee · inbound

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning cites this paper.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Macro F1 and Macro F1

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:28.255290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:28.255290Z digest=sha256:f38553873ba45bc4c74079d3dd7dceee208a022af7c8cda8369e662173edcfa2

Observation 844487f4-197e-4c87-8e5d-9b553207c07a · inbound

Joint Modeling of Entities and Discourse Relations for Coherence Assessment cites this paper.

Joint Modeling of Entities and Discourse Relations for Coherence Assessment Macro F1 and Macro F1

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T10:23:10.249063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:10.249063Z digest=sha256:5e0b76e8851d53dbbf095e92c547166e95534d0e1b8060cc9382bb79562e22c8

Observation 7ebff7c4-8525-4c78-9cdf-de0e9ceaac15 · inbound

Is Textual Similarity Invariant under Machine Translation? Evidence Based on the Political Manifesto Corpus cites this paper.

Is Textual Similarity Invariant under Machine Translation? Evidence Based on the Political Manifesto Corpus Macro F1 and Macro F1

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:41:20.175246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-09T19:29:17.346870Z digest=sha256:950ad2b0039882468c388058d0249f22971e67c52db8db938841ded4b13d1b0c

Observation 5ec3f273-3d29-4c1e-8cf3-688c0c74a58c · inbound

MOTOR-Bench: A Real-world Dataset and Multi-agent Framework for Zero-shot Human Mental State Understanding cites this paper.

MOTOR-Bench: A Real-world Dataset and Multi-agent Framework for Zero-shot Human Mental State Understanding Macro F1 and Macro F1

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:51:17.696867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T02:50:10.046572Z digest=sha256:fd8afa37fe4ea87b085a2563994e41d66a642a0238b2dab1c7261eaff15418e4

Observation b764c7f0-3143-4231-8877-eb624e02b4e8 · inbound

An explainable hierarchical self attention-based approach for tremor detection in the time domain cites this paper.

An explainable hierarchical self attention-based approach for tremor detection in the time domain Macro F1 and Macro F1

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:22:34.055742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T19:17:30.331426Z digest=sha256:ba6021344ecbdf875967c192365752f96759f27b6d526c38e8fc0171743cf40d

Observation ded20940-9363-4903-8bb0-1911786956a2 · inbound

ReaORE: Reasoning-Guided Progressive Open Relation Extraction Empowered by Large Reasoning Models cites this paper.

ReaORE: Reasoning-Guided Progressive Open Relation Extraction Empowered by Large Reasoning Models Macro F1 and Macro F1

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:50.376252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-26T05:05:45.360164Z digest=sha256:e98e8608b8b99e81437d1211905e4399699cf4d4db9ded1d1077f8943ec10b31

Observation bb32d91e-6f11-4e4b-8a6a-374fd32ea54a · inbound

Dependency Triad: A Metric to Quantify the Dependencies Between Attributes for Local Differential Privacy cites this paper.

Dependency Triad: A Metric to Quantify the Dependencies Between Attributes for Local Differential Privacy Macro F1 and Macro F1

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T13:58:46.422263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:58:46.422263Z digest=sha256:38147d091360bfe7428be2febba641a8c4751ec3dcc6e8ef691cfb86d843dbf5

Observation 454a230b-b2a0-4321-897d-527bd49425ff · inbound

Soprano voices in opera seria: a corpus-based inquiry into eighteenth-century vocal types cites this paper.

Soprano voices in opera seria: a corpus-based inquiry into eighteenth-century vocal types Macro F1 and Macro F1

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T17:01:48.302863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:01:48.302863Z digest=sha256:9dde106b85dfd8a1790b55562ac9e60ed1de74e4d66bd120fa07ef544b1607ea