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Paper Citation Record · LEDGER

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2507.05424.

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

pith.paper-citation-record.v1
2507.05424 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:32:20.804440Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:42:28.632427Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32e8c34c-3936-45f5-ba65-562ff08b6f62 · outbound

This paper cites Pareto-Optimized Open-Source LLMs for Healthcare via Context Retrieval.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Pareto-Optimized Open-Source LLMs for Healthcare via Context Retrieval

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:32:21.818290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.642584Z digest=sha256:d9f76044bbcc8c93879643c69afb294a3423fa048277ec280e7c8469ea6ca046

Observation e43496e0-05d9-4124-b8a1-5346090f6bb3 · outbound

This paper cites Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models

Reference 2

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no resolver link, observed 2026-08-06T19:32:20.647762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.647762Z digest=sha256:e7053a68a9f2766c31423e087da71381e13199ed2a6e6a7aec48b6b502d60a50

Observation b76002de-dd53-40f1-8030-52cb59e5320e · outbound

This paper cites CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:32:21.562618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.652766Z digest=sha256:68a378a26e25b6f774d9735b463d1aa081a6620efe413a4bd150c551e26c0284

Observation 77248194-2d23-491a-9685-fd644561d300 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Unsupervised Cross-lingual Representation Learning at Scale

Reference 4

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no resolver link, observed 2026-08-06T19:32:20.657644Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:32:20.657644Z digest=sha256:14dbba569d2157b5852364a39becae65591cecddb8f56e9dbab77f28e229a6e6

Observation 40fa6f79-bd5d-42f1-b79b-33bd6dad2441 · outbound

This paper cites Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models

Reference 5

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verified exact
local_arxiv, observed 2026-08-06T19:32:21.485707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.662372Z digest=sha256:e572aed1ece79858bcdd2c15a45ac277555944438534cd5252241fe72358c8ce

Observation 462aed89-cb1f-4603-9c2a-f1e612e8f3b4 · outbound

This paper cites an unresolved cited work.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Unresolved cited work

Reference 6

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verified exact
raw_fallback, observed 2026-08-06T19:32:21.442625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.667561Z digest=sha256:1e3722737c9fb12f1c4c64ac92c5d5ff8bfb4367bc2caa90b42c6ceafb9ce4da

Observation 35721814-5dfd-44b1-bb6d-e70bc89ff89e · outbound

This paper cites an unresolved cited work.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Unresolved cited work

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.672487Z digest=sha256:7bc0199a789141d00c9f6a5a75587927f2031aa24059e340279f6ae3766eba18

Observation c3c7eb90-4ccd-4119-9a54-2b8b668f9be6 · outbound

This paper cites Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

Reference 8

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source=arxiv_source observed=2026-08-06T19:32:20.677113Z digest=sha256:ea17c3eb2ac63510cbd8ea0cba19e228f17bf9da0972def43b5b0a40a5e46279

Observation 1ddefd15-13d7-422e-ba5e-4b9f4777f369 · outbound

This paper cites Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis

Reference 9

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verified exact
local_arxiv, observed 2026-08-06T19:32:21.320386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.682310Z digest=sha256:0624a9e116e1e1d8ac38e2ee2e66c308300726dffa65bca69b93b583c3613cec

Observation 533c1a64-627c-42f8-bded-0a8a41047b07 · outbound

This paper cites an unresolved cited work.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-06T19:32:20.687263Z digest=sha256:772e4bb00f83a190340815c83eb96b5479c9b176d6df84721b509625ad8befc5

Observation 86b8c976-d2eb-49de-9357-83d6e38dc15e · outbound

This paper cites Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents

Reference 11

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source=arxiv_source observed=2026-08-06T19:32:20.692034Z digest=sha256:b6c452b0a0592e2f4de0412824de38d2c596e0dbfbd9001ed01cda037fd511f6

Observation c7796149-f930-45a3-bcc2-0cedccc68fe2 · outbound

This paper cites an unresolved cited work.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-06T19:32:20.697280Z digest=sha256:5d6ec7ce001495bffb24f3b1ed12fb8761942b7e2602b46e10149b865856fba4

Observation 819ea96e-a4b0-4ee4-9f9a-5ba1be651a56 · outbound

This paper cites OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens

Reference 13

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source=arxiv_source observed=2026-08-06T19:32:20.702007Z digest=sha256:5214644256ea5cd3b7d701c7fe801e1554a8e3cd5892f5ff057347ef16ba508a

Observation 6e8b6a98-d0f9-4674-918b-d66cd5bca816 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Lost in the Middle: How Language Models Use Long Contexts

Reference 14

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no resolver link, observed 2026-08-06T19:32:20.706822Z

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source=arxiv_source observed=2026-08-06T19:32:20.706822Z digest=sha256:e93d8dc73ede9bc28e5f2f9e6bf17e48c30a9b4360d8ad03283c74dc61e2f8ca

Observation 0e34cdd7-01d0-49d7-b60b-5153d6f4cd76 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 15

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no resolver link, observed 2026-08-06T19:32:20.712595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.712595Z digest=sha256:d4479f1190004df214f9354ad57f0f4d5be743174954bd4a1699642b5e9a9720

Observation 725a453f-3efc-440f-a043-964bee82a586 · outbound

This paper cites RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 16

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no resolver link, observed 2026-08-06T19:32:20.719247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.719247Z digest=sha256:352cf7bcd8ad0fe824e9380c53ae6fbb4075d60aa6f5519888cb713c3acff65c

Observation cb92e77b-f390-4376-8169-8b2d80d69984 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 17

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no resolver link, observed 2026-08-06T19:32:20.724164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.724164Z digest=sha256:d02b4bb8805e692e2f3acc9e08271243c4f4e8b8443995cc787f38617f20a584

Observation 5a47d898-8fd0-43a9-8384-8a22f21314ec · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.729119Z digest=sha256:e3c30aef084c3ff7701b90b7880bc5f75f260945e801217673db1b77f5e792a5

Observation 498f6330-2d29-4980-bcae-c0829b66ab0e · outbound

This paper cites an unresolved cited work.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Unresolved cited work

Reference 19

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raw_fallback, observed 2026-08-06T19:32:22.248465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.735928Z digest=sha256:545b37a8e6b3a011675fa28aa6461e01b074d06da5d9dbb883700794ec1de6c8

Observation 4cf6e031-0083-41e7-b59c-e8d0ebc8c909 · outbound

This paper cites On Context Utilization in Summarization with Large Language Models.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models On Context Utilization in Summarization with Large Language Models

Reference 20

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:32:20.741349Z digest=sha256:f52a9e2c584d2e19fdf32f193fb341e77b970015040a93230919cbbd2736b9ba

Observation 054021b0-0cd8-4963-8f2f-29bebe7f0ac7 · outbound

This paper cites Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction

Reference 21

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source=arxiv_source observed=2026-08-06T19:32:20.746875Z digest=sha256:51055a4af80a2a34c54e1eca4f84548c0720634dea05e5796ab9660b2783ca2e

Observation 217959ec-746d-41bb-97ce-55294accad5f · outbound

This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.753875Z digest=sha256:810b23cfb4a8bd18f8c4019199229fe2ccd678a5c2b0ac0464dfe60bfe34ad0d

Observation 04a00925-ec19-408e-8ca2-d452957c0063 · outbound

This paper cites When Context Leads but Parametric Memory Follows in Large Language Models.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models When Context Leads but Parametric Memory Follows in Large Language Models

Reference 23

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local_arxiv, observed 2026-08-06T19:32:20.940586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.758483Z digest=sha256:52fe13047be8ed15e3498fc218eb33d2a8575a0cc14b235f69d7af151a267e40

Observation bf795d91-e981-42d8-b27d-2b7a117ed0ef · outbound

This paper cites an unresolved cited work.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-06T19:32:20.762947Z digest=sha256:a9af142d47243e111a840cc49b46adae02d67b649cb1fb37556218c2330a562a

Observation c534d689-b1ba-46e5-8c76-e1433d6599dd · outbound

This paper cites an unresolved cited work.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-06T19:32:20.767497Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.767497Z digest=sha256:505f08d58cf67ae734460ad9905e51ed89dbc37fa2d35c49910124615fd01c36

Observation df33ccdc-bf72-4475-8008-a10c5ac1ec15 · outbound

This paper cites Qwen3 Technical Report.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Qwen3 Technical Report

Reference 26

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no resolver link, observed 2026-08-06T19:32:20.772330Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.772330Z digest=sha256:f10acecb133c70e6d3c7172754d0e4a1b37f17020efbf3c17c3ed74e0238a78e

Observation 2c6e5874-d2b9-4bc2-bd6b-f25f6e660f01 · outbound

This paper cites Evaluating the External and Parametric Knowledge Fusion of Large Language Models.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Evaluating the External and Parametric Knowledge Fusion of Large Language Models

Reference 27

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verified exact
local_arxiv, observed 2026-08-06T19:32:20.902937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.781701Z digest=sha256:195a0d076a8d277313fe355cf122b4fd9aca006ea5cf7773d0a2d59f9379f66e

Observation 22485608-42fe-4c29-bc1c-f503fc286188 · outbound

This paper cites an unresolved cited work.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-06T19:32:22.081256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.787059Z digest=sha256:3e3acbdaa66988f2bb4f69ecd78dde356b243ca9ff6f4c7d9acd34e3281cdffd

Observation f0e90f96-ac0d-41b8-8d2a-4653866b9109 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models BERTScore: Evaluating Text Generation with BERT

Reference 29

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source=arxiv_source observed=2026-08-06T19:32:20.791278Z digest=sha256:25080465bedde30aa6f032f85b70a3374d52d47e4159e0d07d312d1a4fc76841

Observation a0f4547d-0fd6-4181-8d37-c506f271ad8d · outbound

This paper cites QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization

Reference 30

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source=arxiv_source observed=2026-08-06T19:32:20.795635Z digest=sha256:bb4029b0ae9664ff355ad0db23150993d91b723f2574265971958334b7f86cec

Observation a6441313-29a4-4af0-ab4c-6eaf5d8b761d · outbound

This paper cites online" 'onlinestring :=.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models online" 'onlinestring :=

Reference 31

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source=arxiv_source observed=2026-08-06T19:32:20.799788Z digest=sha256:f00d68b9dbfad724c390d7d7c8f52be3dceba97f2e7ac9a1a6306d2fc75a72ea

Observation cf804ae3-960b-4ce6-864f-63c2bc026204 · outbound

This paper cites write newline.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models write newline

Reference 32

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source=arxiv_source observed=2026-08-06T19:32:20.804440Z digest=sha256:ffcb5b1c62a22811e1946c0333f293e265dad7c5c9264b909bbe7604aa86eda0

Pith citing papers

Observation d7e61b3e-d44f-482a-9b4a-8b9a998b34a6 · inbound

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs cites this paper.

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Retrieval, Reasoning, and Hallucination in Long-Context LLMs "Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models

Reference 8

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no resolver link, observed 2026-08-03T12:42:28.632427Z

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source=pdf_text observed=2026-08-03T12:42:28.632427Z digest=sha256:ba8e058ca3ca6d10c395694681852be99c843d5bcfa1fbe44f67702a05ed5a85