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Paper Citation Record · LEDGER

Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.02437.

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

pith.paper-citation-record.v1
2305.02437 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 2026-08-11T13:04:20.073437Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

21
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation edb5ccc4-8a90-40b3-b376-6a21673db73f · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:57.225466Z

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=2026-05-24T05:10:25.171044Z digest=sha256:2ea7d645de4e89dd6ef5d05373879a37eb572d57586f54b4418a7ff83e4fa22b

Observation 2e0d7887-4086-4647-b21a-4c002da554b1 · inbound

EvoWiki: Evaluating LLMs on Evolving Knowledge cites this paper.

EvoWiki: Evaluating LLMs on Evolving Knowledge Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T13:04:20.073437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:04:20.073437Z digest=sha256:3046f54090294b095b73bc3794d2f7a3ccf3898ea476ff52bec18015c5a905fa

Observation 54950eb4-817e-416e-bad6-cef1dab1b367 · inbound

A Survey on Large Language Models with some Insights on their Capabilities and Limitations cites this paper.

A Survey on Large Language Models with some Insights on their Capabilities and Limitations Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

Reference 269

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:56.437661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:56.437661Z digest=sha256:1f6f4b3bf39a78e1d352ddedf537388ffbe8174627e5ba647301187050620335

Observation 846263a7-df7c-4ac5-8204-d5420200d320 · inbound

Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework cites this paper.

Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T16:07:57.790259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:07:57.790259Z digest=sha256:2cb34805bddb205c036d514695db9db9bcc4c71777bbe30daf7d30290285c3d6

Observation 0d37f7b2-faf8-487e-830e-668d4953a94a · inbound

Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement cites this paper.

Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T19:56:32.881070Z

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=2026-05-15T19:55:48.665958Z digest=sha256:c4c610bb970c50d0f7ab00d5a7a3fb8204bfea663ffe91c3d55e525d51b89a4c