Paper Citation Record · LEDGER

Multi-task retriever fine-tuning for domain-specific and efficient RAG

As of 15 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2501.04652.

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

pith.paper-citation-record.v1
2501.04652 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:30:51.890816Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T00:10:01.596422Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:11:23.247700Z

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy2
unresolved33
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2080f54-8852-4566-b128-35ab74da1987 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:30:51.667430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3125c52f-59a8-4b01-8537-4c9bdbd8911c · outbound

This paper cites Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:30:52.543361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cf6647f5-1390-40a1-9da1-035b6b9c6da4 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.679913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef214e3-39dc-4364-8fd7-ce46d6853bbb · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Multi-task retriever fine-tuning for domain-specific and efficient RAG LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.685006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dad6af71-4751-4ba2-aab6-02dd84798674 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Training Deep Nets with Sublinear Memory Cost

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.690719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d58fe210-68df-4ae1-9ef2-71b686c19471 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.696796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb465ad1-c3ea-4354-8d41-1eaaa1e079ad · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Multi-task retriever fine-tuning for domain-specific and efficient RAG CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.703032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11ab2c27-fac7-4f66-8fac-260e86e6c3fc · outbound

This paper cites Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.708827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f98d9895-271e-4a79-b920-c5699180960e · outbound

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

Multi-task retriever fine-tuning for domain-specific and efficient RAG Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.714243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 850769ae-6e9c-4ae2-aaf7-2344a7efa898 · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

Multi-task retriever fine-tuning for domain-specific and efficient RAG GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.719733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6ae1cfe-4f5d-4496-9cdc-7c915e70e6a7 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:30:52.791992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf73adde-8fb1-44c3-a70d-ab160752c2cf · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.729445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 741f53ae-4a62-4833-9e55-d7bd59b49224 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:30:52.756973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation deff9d20-eea3-4450-8737-6d4d36fa4700 · outbound

This paper cites Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.740527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425bf264-b026-46c1-ba65-94fb98224f2a · outbound

This paper cites Multi-task Retrieval for Knowledge-Intensive Tasks.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Multi-task Retrieval for Knowledge-Intensive Tasks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:30:52.315578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22afc424-27b2-4b9a-a529-5aa0aa20dc61 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:30:52.735870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 133ee330-6646-451e-9448-32e5b8a87445 · outbound

This paper cites Generative Representational Instruction Tuning.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Generative Representational Instruction Tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.757212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50d51be4-a5c9-4fea-b205-6e6d0571dde2 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.762274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3c9ad8b-4bf5-4cd8-a5ca-56f8fc870fd2 · outbound

This paper cites GPT-4 Technical Report.

Multi-task retriever fine-tuning for domain-specific and efficient RAG GPT-4 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.771994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ec8d16-cc22-4ef4-ab72-fa03db6a97d2 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:30:52.701067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 66f9f0f1-b624-45b6-b93a-933d23f5f597 · outbound

This paper cites Synchromesh: Reliable code generation from pre-trained language models.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Synchromesh: Reliable code generation from pre-trained language models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.785109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f36839-87f1-4238-afb5-4d469afe0f6f · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.794231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbdadfcf-8aeb-4f55-90df-7e1a062c5f23 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:30:52.682220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b45dc8cf-ffa0-4b94-a39b-b95a81a39d3a · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:30:52.660891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0bb69d07-bbe1-4deb-8796-f4d72b773fd8 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.820364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 444f518e-fd73-4ea7-b3c2-f10e75024d3f · outbound

This paper cites One Embedder, Any Task: Instruction-Finetuned Text Embeddings.

Multi-task retriever fine-tuning for domain-specific and efficient RAG One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.826392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d33af60c-88f7-4951-b567-0749191e7879 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:30:52.640377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 88c07211-09d3-4287-af5f-e24afafb90b8 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.839345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 211e2674-a769-45dd-8560-f5395fff5d78 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.844255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e933de9c-c7cd-48e1-9975-4e8bffc33b5d · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Multilingual E5 Text Embeddings: A Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.849493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e6aa247-f96b-4f72-b2cc-479b1707d75c · outbound

This paper cites Dai, and Quoc V Le.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Dai, and Quoc V Le

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:30:52.621774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 496129c4-5d4f-46b5-912f-310281c5ec18 · outbound

This paper cites Qwen2.5 Technical Report.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Qwen2.5 Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.860664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87a92905-458d-459c-ab23-84cfbc784275 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:30:52.603410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8f7120d1-2209-4cea-996f-d149243603c8 · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.873014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e3eb737-a43f-4c93-a196-99a6fdb5821d · outbound

This paper cites Gonzalez.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Gonzalez

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:30:52.583326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e04bbea-ee97-4b9d-b8c5-3b7015b6cbab · outbound

This paper cites an unresolved cited work.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:30:52.564117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 48de82e2-647e-447a-8710-f56eacc3f833 · outbound

This paper cites Training hyperparameters were as follows: a batch size of 32 was employed, with a per-device batch size of 2 and 16 gradient accumulation steps.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Training hyperparameters were as follows: a batch size of 32 was employed, with a per-device batch size of 2 and 16 gradient accumulation steps

Reference 1412

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.890816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ab61c4e-96b2-4f17-bf94-80ffaa6b2e9a · outbound

This paper cites Text and Code Embeddings by Contrastive Pre-Training.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Text and Code Embeddings by Contrastive Pre-Training

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.767068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2bfeede3-9f29-4da4-9bb3-5904cc92cea8 · inbound

Towards Effective Long Video Understanding of Multimodal Large Language Models via One-shot Clip Retrieval cites this paper.

Towards Effective Long Video Understanding of Multimodal Large Language Models via One-shot Clip Retrieval Multi-task retriever fine-tuning for domain-specific and efficient RAG

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:11:23.252004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2eeab370-e025-47ba-9afe-2233cbc78130 · inbound

Querying Structured Data Through Natural Language Using Language Models cites this paper.

Querying Structured Data Through Natural Language Using Language Models Multi-task retriever fine-tuning for domain-specific and efficient RAG

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:23:09.362614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.