Paper Citation Record · LEDGER

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning

As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2507.09157.

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

pith.paper-citation-record.v1
2507.09157 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:08:28.462448Z

measured 15 of 15 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 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

15 of 15 outbound references displayed

verified exact0
verified fuzzy13
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 191ac8c8-1cf3-4cfa-af8e-174c6c912678 · outbound

This paper cites Lying for money: How people lie differently when they are paid more,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Lying for money: How people lie differently when they are paid more,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:30.910584Z

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.

Observation b6927af4-557b-4d84-83bf-5d04e71c5789 · outbound

This paper cites Finding deceptive opinion spam by any stretch of the imagination,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Finding deceptive opinion spam by any stretch of the imagination,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:30.756765Z

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.

Observation a1a7906b-a503-46c6-9cd1-e3dbe513850f · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:30.578022Z

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.

Observation 1314eecf-e2df-4138-91d1-d00fa8dbb0cc · outbound

This paper cites Csi: A hybrid deep model for fake news detection,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Csi: A hybrid deep model for fake news detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:30.404994Z

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.

Observation 96cdcb5a-5e31-412f-b697-319b8139aedd · outbound

This paper cites Linguistic deception detection using neural networks,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Linguistic deception detection using neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:30.169010Z

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.

Observation 1c54b644-1538-434c-aeb5-9961e9f25a98 · outbound

This paper cites Focal loss for dense object detection,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Focal loss for dense object detection,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:27.258600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee015253-13f1-46bc-beb9-0905b52004f0 · outbound

This paper cites Learning from positive and unlabeled data: A survey,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Learning from positive and unlabeled data: A survey,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:30.013534Z

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.

Observation c9aa5261-3894-4365-853d-690c0ef0af69 · outbound

This paper cites Learning classifiers from only positive and unlabeled data,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Learning classifiers from only positive and unlabeled data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:29.700514Z

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.

Observation b64c1249-188e-4ab1-b0ca-f5f4adbfeaf3 · outbound

This paper cites Explain yourself! leveraging language models for commonsense reasoning,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Explain yourself! leveraging language models for commonsense reasoning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:29.464130Z

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.

Observation a259476d-d4bb-4244-aeae-9785cf0c5d0b · outbound

This paper cites Graph attention networks,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Graph attention networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:29.220551Z

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.

Observation ee656caf-8822-444f-853e-a8487f8f9dc4 · outbound

This paper cites Structure-aware dialogue state tracking,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Structure-aware dialogue state tracking,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:29.103435Z

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.

Observation dfa69551-f5fb-4fc1-a942-0c606f87b338 · outbound

This paper cites Syntactic stylometry for deception detection,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Syntactic stylometry for deception detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:28.946616Z

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.

Observation e1b2aa8e-eba4-41bf-8bca-7997c4437873 · outbound

This paper cites Smote: Synthetic minority over-sampling technique,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Smote: Synthetic minority over-sampling technique,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:28.206623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb83067e-e6f0-4766-baf3-55cd699018f7 · outbound

This paper cites Learning to identify review spam,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Learning to identify review spam,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:28.795857Z

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.

Observation 2abc8890-55e2-4871-85b9-45d4795f7795 · outbound

This paper cites Learning with local and global consistency,.

PU-Lie: Lightweight Deception Detection in Imbalanced Diplomatic Dialogues via Positive-Unlabeled Learning Learning with local and global consistency,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:08:28.677032Z

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.

Pith citing papers

No inbound Pith citation observations are available.