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Paper Citation Record · LEDGER

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2406.13121.

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

pith.paper-citation-record.v1
2406.13121 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:49.587936Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:48:55.205497Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 086c2705-131b-4941-8446-5a0f748c1901 · inbound

World Model on Million-Length Video And Language With Blockwise RingAttention cites this paper.

World Model on Million-Length Video And Language With Blockwise RingAttention Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 16

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arxiv_id, observed 2026-05-16T06:36:57.295583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T06:36:57.165551Z digest=sha256:35a444abda055e429b6e50b1f9b52d2a54b7759ae361f14efe3c875d34544677

Observation a5b23d56-d3ca-4d81-a5b5-7ceea9d261ef · inbound

RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.

RULER: What's the Real Context Size of Your Long-Context Language Models? Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 23

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verified exact
arxiv_id, observed 2026-05-11T03:55:20.663710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T03:55:20.355345Z digest=sha256:1b7f16be3ceb210c478b9c13c6cf3d2fde41d7085809989c8320f01d0b162b4c

Observation 9c4c45c7-4d4c-4ed1-8886-de7e2cc37cb9 · inbound

Systematic Evaluation of Long-Context LLMs on Financial Concepts cites this paper.

Systematic Evaluation of Long-Context LLMs on Financial Concepts Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 7

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no resolver link, observed 2026-08-11T11:32:14.550683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:32:14.550683Z digest=sha256:ffd064cfbd3f0be80c5b07381c14d7318d112dca0b12e2349b04d81ab588e15b

Observation 2197ff05-4906-4146-bd30-4c2c78a9fbc4 · inbound

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering cites this paper.

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 28

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no resolver link, observed 2026-08-11T11:24:01.230859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:24:01.230859Z digest=sha256:3ff29eeb2da3515a1ec13f8ebd8ede454f07124a481694240063ca8643a4e57b

Observation 91bcf906-2411-422c-8cdb-4108d0c01595 · inbound

Revisiting In-Context Learning with Long Context Language Models cites this paper.

Revisiting In-Context Learning with Long Context Language Models Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 12

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no resolver link, observed 2026-08-11T06:01:48.948288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:01:48.948288Z digest=sha256:6f52cf012dcc8307337ec2f5b8d975e4a3e37776efc581cec221379691589847

Observation e7abd8f6-3351-44fa-8e1f-cfe5ef9951e2 · inbound

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models cites this paper.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 9

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no resolver link, observed 2026-08-11T05:12:43.308046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:43.308046Z digest=sha256:da275e72a218875a59fff3b5a818bb889897f7c0085fd59c8e71d94041afeda5

Observation da96e535-36cc-483d-a103-2ae3fcba3ef9 · inbound

Efficient Long Context Language Model Retrieval with Compression cites this paper.

Efficient Long Context Language Model Retrieval with Compression Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 15

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no resolver link, observed 2026-08-11T04:59:37.233194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:59:37.233194Z digest=sha256:cbe4fac70262faee9accd91a3785c0baf9fee973e14ac88b7aba3bdd7803528e

Observation b11eff84-8950-4a63-8f58-2222f2281f3b · inbound

Bootstrap Your Own Context Length cites this paper.

Bootstrap Your Own Context Length Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 24

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no resolver link, observed 2026-08-11T04:28:38.730621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.730621Z digest=sha256:f6addd26410ff1d06f15b236ac325786f9c2023ff7bd3a32fce3c10e90ce5b53

Observation 035a5299-f9d7-4f21-b563-173aefeb4eb4 · inbound

PRISM: Efficient Long-Range Reasoning With Short-Context LLMs cites this paper.

PRISM: Efficient Long-Range Reasoning With Short-Context LLMs Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 9

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no resolver link, observed 2026-08-11T04:25:45.927167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:25:45.927167Z digest=sha256:74db03b92f6605ce1b7fdfd45140698cae446e7fa8b4dbabc7058142927505bd

Observation e083aada-0ab7-4dfb-8d57-de89d5e02fdf · inbound

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models cites this paper.

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 20

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no resolver link, observed 2026-08-10T20:33:22.430292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:33:22.430292Z digest=sha256:e58202e257848b80d443efa88f479692296757c0faab8108c9153cc77879717f

Observation 2b5eb39a-54be-470c-bc63-a0b1ac79bcfd · inbound

Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL cites this paper.

Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 18

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no resolver link, observed 2026-08-10T17:17:24.347036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:17:24.347036Z digest=sha256:780839429bdf36fe614219aaadf0c1d228059131679439af3bb4f8f83abaf572

Observation 74a1b7f6-5598-4845-bfb2-62b2bba3eced · inbound

NoLiMa: Long-Context Evaluation Beyond Literal Matching cites this paper.

NoLiMa: Long-Context Evaluation Beyond Literal Matching Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 24

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no resolver link, observed 2026-08-08T20:07:33.700371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:07:33.700371Z digest=sha256:fd148e5a72235b344487d4525ec6a91701a2f9e29d39d2e1302f4fc96fa26826

Observation eb849715-65bf-4fe6-9e3c-4df0bb4bb99e · inbound

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? cites this paper.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 25

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no resolver link, observed 2026-08-08T20:25:16.874664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:25:16.874664Z digest=sha256:4b195c9509f5b5275a602d39657e6d75b4ee1a0d82e1c3d63011c6a7733b4bfe

Observation b961bae0-5992-4ce4-acbb-c474c54d87db · inbound

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding cites this paper.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 22

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no resolver link, observed 2026-08-08T19:28:43.472132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:43.472132Z digest=sha256:381477f1ff1a9647513451015b508424277c5a1aea8717ccd2ae66db0444c213

Observation 701d07b3-71fe-4eec-96db-9ce3e3d462e2 · inbound

CORG: Generating Answers from Complex, Interrelated Contexts cites this paper.

CORG: Generating Answers from Complex, Interrelated Contexts Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 13

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no resolver link, observed 2026-08-16T10:31:49.587936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:31:49.587936Z digest=sha256:1396fffe7c60f4ef7db0c088148c3da89502d21d1ee26de252f63ca9b04d9aae

Observation 1da388a9-de46-4787-9867-c01c16157d48 · inbound

CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability cites this paper.

CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 14

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unresolved
no resolver link, observed 2026-08-15T21:23:46.232178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:23:46.232178Z digest=sha256:28e22cde1b6d19992b03af5d70e5f216b993442c9a9906a99455d3e4185322ea

Observation 8a7bc83b-72d7-4f21-8392-a6b8aa9e2418 · inbound

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning cites this paper.

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 14

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no resolver link, observed 2026-08-07T15:09:43.637290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:43.637290Z digest=sha256:02c08b31334295eed6c8c1c3bf02d65f9a5935e24f1c479c92e7ea0ac68a2d00

Observation 86738307-d7cf-466b-bfed-84b85e86fd26 · inbound

Evaluating the Retrieval Robustness of Large Language Models cites this paper.

Evaluating the Retrieval Robustness of Large Language Models Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 20

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no resolver link, observed 2026-08-07T13:25:04.996476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:25:04.996476Z digest=sha256:12d0025e83197fbab2bc63d88bf6e7b626315bc8b0954659153814881614cb6d

Observation 7bffc137-3dd6-44fc-9766-b3b995853ebb · inbound

AbsenceBench: Language Models Can't Tell What's Missing cites this paper.

AbsenceBench: Language Models Can't Tell What's Missing Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 24

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no resolver link, observed 2026-08-07T04:13:17.725291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:13:17.725291Z digest=sha256:42a6cc284493624124713e54dfaea9a1ddfadfba1731b54dd1ef2edba71ff96f

Observation 941fbd55-c03d-4a9b-a1b9-8e0f023b5ed1 · inbound

On the Surprising Efficacy of LLMs for Penetration-Testing cites this paper.

On the Surprising Efficacy of LLMs for Penetration-Testing Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 59

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no resolver link, observed 2026-08-06T21:10:06.558326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:10:06.558326Z digest=sha256:173ed2360a257ae1308cce2c6544a7c25b29f005937acd87daefaf8f33ca909b

Observation 518a84c5-0ea3-4e9e-9850-7c10e95077ae · inbound

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework cites this paper.

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 26

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no resolver link, observed 2026-08-06T19:45:12.475088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:12.475088Z digest=sha256:9c8f9724e26c05c70e1124376a52f7aa9c8e858ba4072e1d8a6584219985c877

Observation 49c56812-6f8e-454e-a536-70ad682be9fa · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 47

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verified exact
arxiv_id, observed 2026-05-19T05:52:07.847402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-19T05:48:02.828938Z digest=sha256:dec1b78f5b069919cc36cc05a48b00563419b3038e0014a1af1c5ece1adb6d22

Observation db5e1daf-867f-4c3c-999a-c6800cac21ff · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 73

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no resolver link, observed 2026-08-05T15:38:45.644755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:45.644755Z digest=sha256:0000b7e8188315f5ae66dc138ecde3ac69c4e48c32d7a44e7356ecf8ecfacf21

Observation 80b75a24-002e-491b-bdbe-267732a9741e · inbound

CompLLM: Compression for Long Context Q&A cites this paper.

CompLLM: Compression for Long Context Q&A Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 26

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no resolver link, observed 2026-08-04T15:40:48.710505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T15:40:48.710505Z digest=sha256:a05ca63b519d2c285bff3aea79a84fddf5b494b288cd25afd6a4ce221d0a0716

Observation 3f9e292e-5c93-4e27-ac67-e3ce2bb60e35 · inbound

LLM as Attention-Informed NTM and Topic Modeling as long-input Generation: Interpretability and long-Context Capability cites this paper.

LLM as Attention-Informed NTM and Topic Modeling as long-input Generation: Interpretability and long-Context Capability Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 22

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verified exact
arxiv_id, observed 2026-05-18T10:21:14.862444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T10:19:23.140392Z digest=sha256:fa4c1562e90045794a79d087d530d8e8d27a39c9796bc95a3a96a1a121886b64

Observation cf627056-4d09-44d5-ab90-636f7d354f97 · inbound

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval cites this paper.

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 7

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no resolver link, observed 2026-08-04T09:50:44.647651Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:50:44.647651Z digest=sha256:499ae5e7d7fb33821eddd2594cdcf563ec22df5c895253d2d40a791a939c00ae

Observation d3c753d3-a883-4eb6-936d-46c4c1ef1d9b · inbound

Scalable Model-Based Clustering with Sequential Monte Carlo cites this paper.

Scalable Model-Based Clustering with Sequential Monte Carlo Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 2

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verified exact
arxiv_id, observed 2026-05-10T10:19:19.832952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T10:19:10.631876Z digest=sha256:7a421321503b812175eedc83c49b08f97458559f1440d5b7374c66cc8fa91375

Observation 2ae5de60-d5bb-4aa3-9b9b-7c202da9214f · inbound

Inference Time Context Sparsity: Illusion or Opportunity? cites this paper.

Inference Time Context Sparsity: Illusion or Opportunity? Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 25

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verified exact
arxiv_id, observed 2026-06-30T16:04:53.045640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T15:58:39.653189Z digest=sha256:ab8ae74c8f38dd090a1df26ab37fa5253d45a1fc48764272d9d5a782c78082aa

Observation 803a5c2b-ef75-4349-82aa-83536f85c102 · inbound

ATLAS: All-round Testing of Long-context Abilities across Scales cites this paper.

ATLAS: All-round Testing of Long-context Abilities across Scales Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 18

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verified exact
arxiv_id, observed 2026-06-29T13:33:27.987180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-29T13:30:09.778806Z digest=sha256:83be9b3e9947e8f7087fe56141337f547182dc5712e9d1ec14764a3c7eb2af57

Observation 30780c53-4ab8-4518-9b07-11cb5c3e78b0 · inbound

Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture cites this paper.

Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 80

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verified exact
arxiv_id, observed 2026-07-01T19:36:09.327948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T22:12:13.114405Z digest=sha256:952239697e1baee53b931d28b367b1598f0b6199882ce5868a38c7bef208249d

Observation 2b7b190f-f04c-42bd-9937-4ccd0c3e237e · inbound

Recursive Agent Harnesses cites this paper.

Recursive Agent Harnesses Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 9

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metadata mismatch
arxiv_id, observed 2026-07-03T15:08:33.245579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T06:41:29.001293Z digest=sha256:078e07089ed3fa801ba1d98b91d9ba916f0e2284198c241c6a18d311f4bef1b0

Observation 23788e2a-b817-4338-a00a-af7d59ed2885 · inbound

Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale cites this paper.

Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 2

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verified exact
arxiv_id, observed 2026-07-03T20:48:55.207309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-03T20:43:40.938898Z digest=sha256:81c6b81d537777050b9f25c0949b5e682ef538850f073e01fe108c5bd09647b6

Observation 9826e35c-7b0a-4a80-a617-cd87ee02b69b · inbound

Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support cites this paper.

Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 8

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no resolver link, observed 2026-08-01T19:03:37.287142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T19:03:37.287142Z digest=sha256:a6074acf49055b569c6898b8614c51a2ad199e028302217e7dc1b804e5f699d5

Observation 2ed5ceb0-acee-491e-9940-a6d3237859b4 · inbound

LongCat Sparse Attention: Taming the Lightning via Streaming-aware Hierarchical Cross-Layer Indexing cites this paper.

LongCat Sparse Attention: Taming the Lightning via Streaming-aware Hierarchical Cross-Layer Indexing Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 31

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no resolver link, observed 2026-08-07T00:15:01.929996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:15:01.929996Z digest=sha256:d2de117794aa5a39f7944b1eb5fbc5cfcf460f43a55f4a801c96552a0be02843

Observation 443221c9-add1-43c0-83be-24d87d716407 · inbound

Monte Carlo Tree Search for Table-to-Multimodal Report Generation cites this paper.

Monte Carlo Tree Search for Table-to-Multimodal Report Generation Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

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source=arxiv_source observed=2026-08-15T14:48:57.647338Z digest=sha256:342d6bf15603bcaee143411efe2e9ab679e015ad5acc3b181d16da146691c435