Paper Citation Record · LEDGER

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models

As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2504.17780.

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

pith.paper-citation-record.v1
2504.17780 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:32:43.278087Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy16
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd40f46d-cd0d-47a8-a974-62a368c17381 · outbound

This paper cites Reliably evaluate llm models with semantic similarity.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Reliably evaluate llm models with semantic similarity

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.541483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation acf75592-02cf-442f-8037-2bf2ee3bbe16 · outbound

This paper cites Catastrophic forgetting: The essential guide.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Catastrophic forgetting: The essential guide

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.531849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 699dd3ce-0241-4325-aa99-a9679f29b06e · outbound

This paper cites A question-entailment approach to question answering.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models A question-entailment approach to question answering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:43.203502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5122663-12b8-4d2e-afcc-cd7c61709e4e · outbound

This paper cites Semantic similarity evaluation of llms.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Semantic similarity evaluation of llms

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.519777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3412f704-c8f7-4436-8ca9-3b88b334a97f · outbound

This paper cites Llm evaluation metrics: The ultimate llm evaluation guide.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Llm evaluation metrics: The ultimate llm evaluation guide

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.508716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9438af27-3427-4b54-b941-b743a2adab77 · outbound

This paper cites Efficient fine-tuning with lora for llms.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Efficient fine-tuning with lora for llms

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.499088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4287691c-63b3-4052-8ee6-5fa86f105265 · outbound

This paper cites Llm evaluation metrics and methods.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Llm evaluation metrics and methods

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.488039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 88e8482d-bf69-4e25-8ab8-942fc6afc8b6 · outbound

This paper cites an unresolved cited work.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:32:43.477479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5199a075-0a17-4a73-9f36-1ff86cde78d1 · outbound

This paper cites Evaluating llms with semantic similarity.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Evaluating llms with semantic similarity

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.465272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c1d813a-9a66-4ca7-ba4e-9a362f3b11b9 · outbound

This paper cites Catastrophic forgetting in llms.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Catastrophic forgetting in llms

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.454368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f5fc4cfa-f590-4c36-b7dc-7d94198c0a93 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:43.234751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d73766ae-ca76-4b15-8c07-8fcb81c85ecc · outbound

This paper cites Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:43.238687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ae78877-4718-42d8-bfd1-0f1afb0bd16c · outbound

This paper cites Lora explained: Low-rank adaptation for fine-tuning llms.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Lora explained: Low-rank adaptation for fine-tuning llms

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.444623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1c92782d-a850-465f-85d1-de4c9f95307b · outbound

This paper cites Contextual experience replay for continual learning of language agents.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Contextual experience replay for continual learning of language agents

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.434807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 954a6a88-ec1b-445e-97e1-c2891ab695a5 · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:43.250819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91ec10b-421c-41ef-b72e-c1fb79b511a8 · outbound

This paper cites List of metrics for evaluating llm-generated content.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models List of metrics for evaluating llm-generated content

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.421872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c227d71c-dfb8-4fb1-b994-9c3f30b48eb6 · outbound

This paper cites Parameter-efficient llm finetuning with low-rank adaptation (lora).

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Parameter-efficient llm finetuning with low-rank adaptation (lora)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.410184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c0652418-c62a-440d-a12f-bed938e798aa · outbound

This paper cites Practical tips for finetuning llms using lora (low-rank adaptation).

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Practical tips for finetuning llms using lora (low-rank adaptation)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.399488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 026637b0-6dd5-4ff5-abf2-be89bbdc1155 · outbound

This paper cites Adaptive Memory Replay for Continual Learning.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Adaptive Memory Replay for Continual Learning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:32:43.322633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b92df5c-c464-45f1-b86a-2842eea72762 · outbound

This paper cites Catastrophic forgetting in large language models.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Catastrophic forgetting in large language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.389407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c0c4dd43-08cb-4e69-862b-be902fc40ee3 · outbound

This paper cites Llm evaluations: Metrics, frameworks, and best practices.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Llm evaluations: Metrics, frameworks, and best practices

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.377884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d84a565-9866-4d9c-a228-2e0e62524297 · outbound

This paper cites Using llms for evaluation.

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models Using llms for evaluation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:43.366681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 303f19a7-c49c-45f0-a1a1-6e7d6b51b18f · outbound

This paper cites An integrative knowledge graph for rare diseases, derived from the genetic and rare diseases information center (gard).

Replay to Remember: Retaining Domain Knowledge in Streaming Language Models An integrative knowledge graph for rare diseases, derived from the genetic and rare diseases information center (gard)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:43.278087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.