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Paper Citation Record · LEDGER

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2312.15166.

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

pith.paper-citation-record.v1
2312.15166 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:04:34.953034Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:07:09.407610Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0eab44cc-62e6-49aa-903d-1710b18c0d08 · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 77

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malformed identifier
arxiv_id, observed 2026-05-24T02:15:55.447265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T02:15:05.379583Z digest=sha256:6a3f2e6571362e86dbef14abeab33fb019aa1d0ef58df5722892a8b116aacce5

Observation 59d9b44f-fe0b-4a66-b290-78c6dac7b04c · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 133

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malformed identifier
arxiv_id, observed 2026-05-13T20:18:06.706479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:16854b79e459340f564da8ccaeb265ff1c79047fde5519260f2032c26b69faa4

Observation e359f20a-47c1-48ac-b6cd-0e585d3e4ec6 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 109

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malformed identifier
arxiv_id, observed 2026-05-17T22:16:04.819850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:f9ea8478bc54e21b8d7d2214898562a3cc14af5ce6947791100ae4c39f4f1492

Observation 3f3e0deb-6317-4be4-9502-9643f1fb9aed · inbound

DNA 1.0 Technical Report cites this paper.

DNA 1.0 Technical Report SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 9

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malformed identifier
no resolver link, observed 2026-08-10T19:04:34.953034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:04:34.953034Z digest=sha256:1bc6d0f5c98d46416859d719cfb15ec21ed934aac14a8ae805beba23880ec5f4

Observation 13229869-7332-4292-b50c-16471c4779cf · inbound

Unraveling the Capabilities of Language Models in News Summarization cites this paper.

Unraveling the Capabilities of Language Models in News Summarization SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T00:36:46.453123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:36:46.453123Z digest=sha256:106585af6de1157fb8e471eb8e4c7bf8eea992301cfcf3dcb007d6aa46cb1f7f

Observation d6b26ee5-8b09-48b2-b473-878efa0036a0 · inbound

Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging cites this paper.

Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 22

Resolution
malformed identifier
no resolver link, observed 2026-08-08T23:51:29.380623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:51:29.380623Z digest=sha256:135990220a9fa51fd7c7eac411317a651ff9932f0684d95845798a6afe69b788

Observation f5d946a5-ce6d-4e39-ad76-8bec83e82c11 · inbound

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding cites this paper.

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 15

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malformed identifier
no resolver link, observed 2026-08-08T11:11:44.600880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:44.600880Z digest=sha256:06b8a1ca4c0e832d46695f2cdee6289b2993f3fa84cf8c9ea5de2e4c3a17c4f5

Observation db79b3e1-1de4-4d1b-8839-711344341c75 · inbound

Latent Flow Transformer cites this paper.

Latent Flow Transformer SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 15

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malformed identifier
no resolver link, observed 2026-08-07T15:42:05.936200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:05.936200Z digest=sha256:b2b5aa0ddd4b835b3296bf77a6becb1e813318a991ab733850c75a5d38770723

Observation 00b386a9-338e-4bfc-85fc-c037922ab477 · inbound

Efficient Speech Translation through Model Compression and Knowledge Distillation cites this paper.

Efficient Speech Translation through Model Compression and Knowledge Distillation SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:04:48.602066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:04:48.602066Z digest=sha256:d4dd8e6f965c9e7d0abdb8dbcde0fea6ad320fe94c2c30017e95cd3b6ccb7d6b

Observation a3c1da30-bbfd-4f14-8662-a686fbc5facc · inbound

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation cites this paper.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 37

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malformed identifier
no resolver link, observed 2026-08-07T15:09:37.628409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:37.628409Z digest=sha256:aecd3055f98e2bd0924a8ed2778cc7922190c328579aec899ca3385f2bc92b46

Observation 42830951-779f-4436-8dae-cfbc2b4694e2 · inbound

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought cites this paper.

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 25

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malformed identifier
no resolver link, observed 2026-08-07T12:39:00.710124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:39:00.710124Z digest=sha256:882f07b6962542b97692d38b5d3b300aa6276ea27fc56ac05a0ad0829bfe8dde

Observation 370e85a8-7d92-4788-91b8-a889fbe7214d · inbound

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models cites this paper.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 48

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malformed identifier
no resolver link, observed 2026-08-06T23:28:39.250664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:39.250664Z digest=sha256:964c4a923dadbf59f8706190ee5dbe689c436f02de940d64bdcc8290348e9a07

Observation 8e1aac1d-3f89-4cc4-8b9f-a4ba61f04de2 · inbound

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study cites this paper.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 8

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malformed identifier
no resolver link, observed 2026-08-05T10:33:30.244944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:33:30.244944Z digest=sha256:32ee5777edd7f7f28f89b23926dc7e5b53c0bbbc4cee152399be379feb8503f1

Observation 424a487e-b4cb-4a64-ab4d-9eb99d4a7831 · inbound

MIDUS: Memory-Infused Depth Up-Scaling cites this paper.

MIDUS: Memory-Infused Depth Up-Scaling SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 14

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malformed identifier
arxiv_id, observed 2026-05-16T22:03:36.128384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T22:02:42.297041Z digest=sha256:42a06668ca2b808634300b0d565c58fd234b14c4ecb3af62a75d80e52ca329e3

Observation a4c31e22-759a-45d1-9bcf-cc0262ee1fb6 · inbound

Visual-ERM: Reward Modeling for Visual Equivalence cites this paper.

Visual-ERM: Reward Modeling for Visual Equivalence SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 11

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malformed identifier
arxiv_id, observed 2026-05-15T11:19:57.913023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T11:19:42.002790Z digest=sha256:1992c4a5cac48dadd2f9c380ebd5d483b7c46fb53ed6e76ee29425d6657b9f45

Observation 8994c557-b41a-43e8-864d-602470089b39 · inbound

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models cites this paper.

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 30

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malformed identifier
arxiv_id, observed 2026-05-11T09:05:58.772360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:16:51.109113Z digest=sha256:02ba3ae206206ed366700cd957099cec7c1c018126a1ef21fb03c4f0a42503e0

Observation 6ae07fc5-2413-441b-ac0c-e5e6ee13d588 · inbound

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity cites this paper.

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 23

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malformed identifier
arxiv_id, observed 2026-05-11T19:41:11.046774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:08:22.322879Z digest=sha256:676436702194e05544abbc3b6b6edf5dc696196d95ee40c6ef2c263488fe5e9e

Observation d40349d5-5a06-4aaf-ac78-ed3e33a2493b · inbound

BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration cites this paper.

BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 6

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malformed identifier
arxiv_id, observed 2026-07-02T11:26:54.195736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T04:02:38.834181Z digest=sha256:0427d3e974247bfad5c43a2f712922076ddc9a8cff335932e8fe1f86bac906d5

Observation a529809d-f6b0-4389-a74c-2ab7c4d9a8f0 · inbound

Reversible Foundations: Training a 120B Sparse MoE through State-Preserving Scaling cites this paper.

Reversible Foundations: Training a 120B Sparse MoE through State-Preserving Scaling SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 47

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malformed identifier
arxiv_id, observed 2026-07-02T16:07:09.409007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T22:55:09.477413Z digest=sha256:be2f625877704da5b775d0fa3362737fee7c81a833d23ccc8cad3773b3b1ea5c

Observation b5a252e4-1286-4eb0-99f9-bf436fd4440e · inbound

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield cites this paper.

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 19

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malformed identifier
arxiv_id, observed 2026-07-01T10:15:44.059441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T05:46:40.510955Z digest=sha256:849ce9d0c6ef38617f306ec77b320ec2769429bb9a3da520a5854131031ba178

Observation e2795c3d-b840-4ccc-a228-dfc81ce0b248 · inbound

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield cites this paper.

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 19

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malformed identifier
no resolver link, observed 2026-08-02T09:24:13.924447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:24:13.924447Z digest=sha256:105e4ef3c039baaadb391ebe7518b1c5342aea57f6f72a77cea48fe8d4905b71