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Paper Citation Record · LEDGER

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2505.20871.

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

pith.paper-citation-record.v1
2505.20871 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:50:40.121894Z

measured 14 of 14 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:34:29.678007Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:34:32.227476Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd172284-c2e5-4d44-b8eb-456688986a1a · outbound

This paper cites an unresolved cited work.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:50:40.885039Z

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=2026-08-07T13:50:39.857149Z digest=sha256:db32c900ef9ced6f3343716b867eabc9c32f1637041f35a7a9b7ef58b9390203

Observation 6a7c0d8c-8164-4e3d-93af-c5d67d1567c8 · outbound

This paper cites an unresolved cited work.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:50:40.731990Z

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=2026-08-07T13:50:39.953559Z digest=sha256:9561fb1d3f64c2948fe67d94ec2efc4067bf6c9e79e75a8fd7131a547d754568

Observation b85a5c8f-c8e4-4b3e-97e4-fceedb79638c · outbound

This paper cites an unresolved cited work.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:50:40.535948Z

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=2026-08-07T13:50:40.029217Z digest=sha256:9e7f4e67272a43f7c72f0d648db3b6ddcf1b060c156bb954d9c891b5845dbb9e

Observation 912e6fa5-4b63-4d10-a79b-15e3f1ec704c · outbound

This paper cites Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:50:39.165790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:50:39.165790Z digest=sha256:37c22306ba84ef2ee6c6a1c38b02dc367b77ddd5b44dbee268eb8caf44798ecb

Observation 2a6ede6c-8427-4e3e-87ec-11f4bad444d8 · outbound

This paper cites When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:50:39.311498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:50:39.311498Z digest=sha256:105e4dabf115375fa3d14455a73d5774f6d353733ad81de3998f3a8031526816

Observation abe08b7d-1a36-45c2-8168-9e80c480a814 · outbound

This paper cites Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T13:50:39.380085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:50:39.380085Z digest=sha256:b935dfea6393b23322a32c844d485d30895189d274fcbc2b5c6bd2b3cf416f7c

Observation a309b4b0-284d-4569-b6ec-8c11a7103bd0 · outbound

This paper cites LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:50:39.500130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:50:39.500130Z digest=sha256:406cd40da8435c9a384e3fcc05fb47d93ba9d203c8954b995551e4ed1c33d53e

Observation c5307181-38bc-4327-bf64-c055a695585f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:50:39.649777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:50:39.649777Z digest=sha256:1311dbbbb4100ba0e6d2d356121e116b53470f7191368abebe676692b16e48ac

Observation 397acd04-661d-4658-b6d1-7155db837ff3 · outbound

This paper cites lost in the middle.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG lost in the middle

Reference 9

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T13:50:41.102367Z

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=2026-08-07T13:50:39.724853Z digest=sha256:5e5ddeb6efb33a3fd7eba3771ce5696ade133011d1b08c408029a7458c4e2b12

Observation f8e076bd-7cc8-44b9-ba65-17f6f8b4dd7b · outbound

This paper cites score": 0 or 1,.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG score": 0 or 1,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:40.381397Z

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=2026-08-07T13:50:40.121894Z digest=sha256:ce7de7fdf11ebd1ccf02bb4b629dbe6b0d2c8a1306c92db6b9f8ed62b1fe9b9c

Observation 6e89a56a-acac-4c60-95d4-884de0b4e1f5 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T13:50:38.707666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:50:38.707666Z digest=sha256:c3730bacc6ef1bd477812e980f3d40cfa20e5237c7a30c7349d8ce69038a3f31

Observation 6764c75b-7039-413e-8eb1-100cd5394dea · outbound

This paper cites In Proceedings of the 17th Conference of the European Chapter of the Association for Com- putational Linguistics, pages 1059–1075, Dubrovnik, Croatia.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG In Proceedings of the 17th Conference of the European Chapter of the Association for Com- putational Linguistics, pages 1059–1075, Dubrovnik, Croatia

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:41.297514Z

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=2026-08-07T13:50:39.005682Z digest=sha256:4b98713cda63247ac12b144c532d9a125e9f6ce23bc86157d76bfede71308763

Observation 3ee76715-134a-44dd-b1b8-0eb36fa38234 · outbound

This paper cites Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T13:50:38.827183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:50:38.827183Z digest=sha256:46c6dd3bddc5a693f05c3804a6a0249bebf6c72d5925aa326e11517521bc46a8

Pith citing papers

Observation dc78e5a1-3c5d-4d0c-be8b-c55dbb02d6ca · inbound

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking cites this paper.

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:34:32.231695Z

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=2026-08-04T23:34:29.678007Z digest=sha256:35d67d2a43f37a7f3b849cd5b8e126d4bf9abee16aaf2c79c7e02c654d842557