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Paper Citation Record · LEDGER

Neural Approaches to Conversational AI

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1809.08267.

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

pith.paper-citation-record.v1
1809.08267 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:38:42.981717Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:07.786981Z

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 0bf1ce41-503e-4bfa-99c6-cba86de7ba2b · inbound

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset cites this paper.

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset Neural Approaches to Conversational AI

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:54:21.737112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T05:54:21.562300Z digest=sha256:77646d331cbdd2c4913a3ffa2eaa19848dfe0ebb86f4baed3c0844a779e364c6

Observation e67ef5fc-139f-45d1-9687-7605432d1fc6 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Neural Approaches to Conversational AI

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:42.981717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:42.981717Z digest=sha256:c173de790849a3e4be9217234eae4f9da0bffee0763200d4bb317740e86c421f

Observation abc62e94-5a45-45c1-b55d-b8c9e05a5258 · inbound

Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models cites this paper.

Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models Neural Approaches to Conversational AI

Reference 162

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:00:07.788611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-25T20:56:54.213502Z digest=sha256:33d25ed66c540317a3db5e6454f41282cc050ddb686e3df48bb90ce9efd02875

Observation a5a9f184-0a5a-45b0-9622-6c1454dd2f07 · inbound

Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models cites this paper.

Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models Neural Approaches to Conversational AI

Reference 162

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:35:34.347296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-01T07:18:00.852226Z digest=sha256:b5b82a80d29666e08a730a2822a5e5323fd930259bd8d54db75757eb41461eea