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Paper Citation Record · LEDGER

Self-Improving Customer Review Response Generation Based on LLMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.03845.

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

pith.paper-citation-record.v1
2405.03845 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:44:47.082674Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:44:50.327638Z

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 e6eb4f0b-327d-46c1-b292-f4f139962357 · inbound

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant cites this paper.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Self-Improving Customer Review Response Generation Based on LLMs

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:44:50.409060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:44:47.082674Z digest=sha256:3c67ed1658d901893ec08036ae6b5cb770703c7ebcec06014882281df5e511e8

Observation 9d42fc58-ce66-45c0-ac3b-1a0165f858aa · inbound

Benchmarking and Learning Real-World Customer Service Dialogue cites this paper.

Benchmarking and Learning Real-World Customer Service Dialogue Self-Improving Customer Review Response Generation Based on LLMs

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T08:13:26.065179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:13:26.065179Z digest=sha256:ed9e7b4c16b291de12e134af9591d79da8e8f161243df0e6aa97c58d4ec43f97

Observation 35b1648b-8734-42ce-a643-3bd79683766a · inbound

Enhancing LLMs through human feedback: a journey towards self-improvement cites this paper.

Enhancing LLMs through human feedback: a journey towards self-improvement Self-Improving Customer Review Response Generation Based on LLMs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-14T02:23:46.480403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T02:23:46.480403Z digest=sha256:7a2078414c000a88c1397bdce43b355fbb5782e9be94a229334b88fec3dba8c6