Pith. sign in

Paper Citation Record · LEDGER

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1609.00777.

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

pith.paper-citation-record.v1
1609.00777 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:10:38.787613Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:45:47.385567Z

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 763fd09c-214a-4f75-8455-fa3a916adb48 · inbound

Process-Supervised Reinforcement Learning for Code Generation cites this paper.

Process-Supervised Reinforcement Learning for Code Generation Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T15:10:38.787613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T15:10:38.787613Z digest=sha256:1e336e50ed62a444c2b6785f4630e5f8c078f25a3ec8704ee7b036efa8e1e0f0

Observation da039119-8a6c-41d7-822b-addfe1a77349 · inbound

Optimizing Conversational Product Recommendation via Reinforcement Learning cites this paper.

Optimizing Conversational Product Recommendation via Reinforcement Learning Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:45:47.439870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:45:47.067519Z digest=sha256:39a7e1de93b9aaa5fa9baed2de9f65b1ddf06eac98af617e7d6df2aece33f498