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Paper Citation Record · LEDGER

The Second Conversational Intelligence Challenge (ConvAI2)

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1902.00098.

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

pith.paper-citation-record.v1
1902.00098 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:50:28.895411Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-17T14:43:30.161294Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bd6b6f61-92e3-42ee-b5d3-3ea41358f489 · inbound

Neural Text Generation with Unlikelihood Training cites this paper.

Neural Text Generation with Unlikelihood Training The Second Conversational Intelligence Challenge (ConvAI2)

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-14T13:50:28.895411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:50:28.895411Z digest=sha256:1392ceec0f0e31840fb58370ae1b6d652d2dd14c8fc06009636dd0c5b6091481

Observation de85eee5-42d5-413c-bf74-c16247a87a29 · inbound

Getting To Know You: User Attribute Extraction from Dialogues cites this paper.

Getting To Know You: User Attribute Extraction from Dialogues The Second Conversational Intelligence Challenge (ConvAI2)

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T13:40:29.606209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:40:29.606209Z digest=sha256:4c79d43118613bcc5fb627db6b2a043cf0e6fd6458a21689c0fd9f86c9fa9427

Observation c402424e-5057-4406-898c-7b40333c7d52 · inbound

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack cites this paper.

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack The Second Conversational Intelligence Challenge (ConvAI2)

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T12:54:32.585689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:54:32.585689Z digest=sha256:b6f9c6bb68abba72ea32f768308f2c16f1621b2af02a2b164bf7da77a80b4cec

Observation 69cb0411-a233-4982-b2ee-c6b984b4aa78 · inbound

MoEL: Mixture of Empathetic Listeners cites this paper.

MoEL: Mixture of Empathetic Listeners The Second Conversational Intelligence Challenge (ConvAI2)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T12:12:42.611846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:12:42.611846Z digest=sha256:5768d7d1717df9198470f1390d22b054c0a6a27091d0ab186f056659c27cc24b

Observation b6944ea8-0a3f-4f4a-9d93-cdbcc3c00a2b · inbound

Dialogue Coherence Assessment Without Explicit Dialogue Act Labels cites this paper.

Dialogue Coherence Assessment Without Explicit Dialogue Act Labels The Second Conversational Intelligence Challenge (ConvAI2)

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-14T11:42:54.434222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:42:54.434222Z digest=sha256:34399bbd2b4960deb117990ce7bd677a9ffa40e7689d4393891e2a8acf9c19cb

Observation 3c479d32-3f62-4b6c-94d4-4bfddfa4a685 · inbound

Multi-Granularity Representations of Dialog cites this paper.

Multi-Granularity Representations of Dialog The Second Conversational Intelligence Challenge (ConvAI2)

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T11:03:51.058003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:03:51.058003Z digest=sha256:f48d28184554e6436ad7d91083ca0c73888ee6a7f2191cc5223c3d82cc6e2457

Observation 09de3def-df2b-408f-a975-5e037137cf72 · inbound

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension cites this paper.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension The Second Conversational Intelligence Challenge (ConvAI2)

Reference 3

Resolution
malformed identifier
arxiv_id, observed 2026-05-13T00:14:58.171691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T00:14:58.134513Z digest=sha256:ae664b00097d2be4ec277f4c0f39902313282f03de61e096af477b60a547c58f

Observation b2cd2159-8f5f-40f1-9be8-a6f20f5cae63 · inbound

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models cites this paper.

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models The Second Conversational Intelligence Challenge (ConvAI2)

Reference 135

Resolution
verified exact
local_arxiv, observed 2026-05-17T14:43:30.164841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-17T14:43:29.496457Z digest=sha256:16335eacc1bee005d3eb6c3153f67d5ae0aecb1037382a95eb7f57b76b5127ef

Observation 6361898f-6743-4710-97f4-349c52fa4009 · inbound

Bridging the Data Provenance Gap Across Text, Speech and Video cites this paper.

Bridging the Data Provenance Gap Across Text, Speech and Video The Second Conversational Intelligence Challenge (ConvAI2)

Reference 299

Resolution
unresolved
no resolver link, observed 2026-08-11T12:18:43.589490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:18:43.589490Z digest=sha256:5dac22a8148b98597d03bf55afb9c2e6fa9b434bdfe8045d8ee6b7414507d132

Observation 09e179b2-8799-4d98-95a0-0609e2c05737 · inbound

BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation cites this paper.

BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation The Second Conversational Intelligence Challenge (ConvAI2)

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T19:16:39.199079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:16:39.199079Z digest=sha256:efcc3ba2f111012578f9b8f6841348e94ab13561149fde0dfe65add424006ed6