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Paper Citation Record · LEDGER

Neural Approaches to Conversational AI

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:02:37.285195Z

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T05:54:21.562300Z digest=sha256:66cbaf94ebaec7dbe329b155fc4a8f43965e57874872db6e9a48ec8f8d49bf2e

Observation 54cbde71-9bcc-48ea-bb63-6cf26042002c · inbound

Dialog State Tracking with Reinforced Data Augmentation cites this paper.

Dialog State Tracking with Reinforced Data Augmentation Neural Approaches to Conversational AI

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T12:02:37.285195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:02:37.285195Z digest=sha256:a5b4408626ae3f2ba8b4e0d11c471c3e0d8517d37632c21902c52d0b580fff6e

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=sha256:4f83afd9afc2f29374328935211c5bad6fb53c7e4ccd629c7d3c1c93ff0b31b1

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-25T20:56:54.213502Z digest=sha256:478b1f007fdb82155a71bda9f13bd87a65e5ae088c3885da7943b04fc5dde09c

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-01T07:18:00.852226Z digest=sha256:9d87b03a8889df8a30de6ba7793e7729f0af67e93c5da4a17ec9fe416654b3c9