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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.642584Z digest=sha256:20a176dadbb77e6312d7e3131dfa3e7765fc72b3dd6e16fc93a10cb689b5f177

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:bfbdc1a624c17cb1a3480e33c521a9ce62edf77907449c3438608cb03016fc85

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.652766Z digest=sha256:d8aec24f7854d372c045b3f1a2b8fd47fbefbefe4417d97822d39809a2a7dd6d

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.657644Z digest=sha256:7aa109d373edf59070e67bd08713ae6a224b361d6ec28aa2dc3e66ffc8e27783

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.662372Z digest=sha256:47f168dcc79df382f07d281851d420cc574d50427f05dbe303de55364d92d203

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.667561Z digest=sha256:f3982b43d261056196d91cf2bfba453399dc23cc3d4799461a5efc1a0e8c9846

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=sha256:281b61f173d67da4368e24402937e98627ac516d68499be5c530ad88e6d9d90c

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=sha256:1da66f6b88555d660d87ba13ffc0b02ab402f374e58c6b348c645ed43df3ec27

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.682310Z digest=sha256:931a1e9144e830a5ad59ea79abca3d515dab015ea3584da4d0ac1e7df1c9ff35

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.687263Z digest=sha256:4adc064a46946605ea6d18e72ba10db828ad230b184ca77f285cecbaaea1ec11

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=sha256:22c63dc6ee0ae86f77931128bef7be1e0caf73467b4146a2916393003c60a710

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.697280Z digest=sha256:2457f5337a1718ced6f1ea2669b478640b56d353df4cbf0e467f325329595d98

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=sha256:1ee8243d0f548bbf3946574e8f57f20bcdd8ee2aa7c9f11eb48a6e4a6ddd4c2b

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:32:20.706822Z digest=sha256:76ac9de9db9e2327e8bdc349eb440924f4e1f06aee4ba52afb5d48b278cbc364

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:bfcaf49d615167cc3b5e89a61202ded54a57886a36ff8eefdcf303a4371c1dae

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=sha256:01414ac1aa1f6b88da1c155dd2db45b4628bff7a9c7e0b6a1d2580c6897d4d7d

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:ad90063f18268d5daa3857b7e4d940cca0278a715c5bf60f0634e4ef0d6e284d

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=sha256:5249514c0310832d4327d73fcf2997ed0948c2321c072834d6749915e72f56cd

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

Resolution
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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.735928Z digest=sha256:f8b80689a67cdb1460fbaedb536e398ae95770ca3d1a1ab3f5d1f4b797279715

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.741349Z digest=sha256:a6e03b3b19eb48e5876b5ddef36a26545c216277a8fc89bb1f73ff5d9bf5add9

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-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:32:20.746875Z digest=sha256:e16e8c514f889086084327b955581e05e4a44d9002ca21d696dca4625d19bc46

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:ed487f05c02a57dea37b4537ef6b680b8939f81855d1ea8f27cd83dd9bc96fdc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.758483Z digest=sha256:22120222aaeb577d46047aac2fcbf7051ad495481617c8e55012134dcbbd46fd

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:aad7cba43dc53fe35763fdd77f715c7d31da1e9f35e9394f8d0d94f0e6386545

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:e7d3e0e8065ba5d277b7e7aea91d7542d2b104c923204ee1da3e94f5425d696a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.772330Z digest=sha256:76d5057da1ef5dcf749f71b60614cadd62d7fa68338f7ec08c2fb348ed21ecde

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.781701Z digest=sha256:1289fd1a3d2d070775d5bc1e792914fd070165124b47447f30f27fc0f83d477f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:32:20.787059Z digest=sha256:2ca5f9eaafbd79a9ab43179ea603bfda711727946bdd0482a1ed538831b20c40

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.791278Z digest=sha256:40d925897655a9979214c31c3be9fb392976286da2773f2339d681bf3d511dd9

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=sha256:0d9a29213a541caa4d38a633a081cd4dd536924aee1f312b0434934edab65cef

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:e9b3af0300ad71cff95da600171347549216130dbb9099bd4ef05bf7d14de9a5

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=sha256:03961dd9ecf0a254aba82031c98f00b96392e3a1f005f23739035089264c4cea

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=sha256:119b5a8e60ea777ba7da77eefab304def5978bf4e52fb7174c3976889c47b0ec